AutoGen |
Framework that enables development of LLM applications using multiple agents that can converse with each other to solve tasks |
microsoft |
|
|
28.09.2023 |
Actor-Critic |
This tutorial demonstrates how to implement the Actor-Critic method using TensorFlow to train an agent on the Open AI Gym CartPole-V0 environment |
Mark Daoust |
|
|
27.09.2023 |
Simple audio recognition |
This tutorial will show you how to build a basic speech recognition network that recognizes ten different words |
Google |
|
|
27.09.2023 |
AnimateDiff |
Practical framework to animate most of the existing personalized text-to-image models once and for all, saving efforts in model-specific tuning |
|
|
|
27.09.2023 |
YOLOv8 |
State-of-the-art model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility |
Glenn Jocher |
|
|
26.09.2023 |
Feast |
An open source feature store for machine learning |
|
|
|
21.09.2023 |
Fooocus |
Image generating software |
Lvmin Zhang |
|
|
13.09.2023 |
YOLOv5 |
You Only Look Once |
Glenn Jocher |
|
|
10.09.2023 |
YOLOv3 |
You Only Look Once |
Glenn Jocher |
|
|
10.09.2023 |
Bark |
Transformer-based text-to-audio model |
suno |
|
|
08.09.2023 |
dm_control |
DeepMind Infrastructure for Physics-Based Simulation |
|
|
|
07.09.2023 |
MuJoCo |
A general purpose physics engine that aims to facilitate research and development in robotics, biomechanics, graphics and animation, machine learning, and other areas which demand fast and accurate simulation of articulated structures interacting with their environment |
|
|
|
07.09.2023 |
Ray |
Unified framework for scaling AI and Python applications |
|
|
|
06.09.2023 |
Federated Learning for Image Classification |
We use the classic MNIST training example to introduce the Federated Learning API layer of TFF, tff.learning - a set of higher-level interfaces that can be used to perform common types of federated learning tasks, such as federated training, against user-supplied models implemented in TensorFlow |
Krzysztof Ostrowski |
|
|
01.09.2023 |
Transfer learning and fine-tuning |
You will learn how to classify images of cats and dogs by using transfer learning from a pre-trained network |
François Chollet |
|
|
31.08.2023 |
Neural style transfer |
This tutorial uses deep learning to compose one image in the style of another image |
Billy Lamberta |
|
|
31.08.2023 |
CycleGAN |
This notebook demonstrates unpaired image to image translation using conditional GAN's |
Billy Lamberta |
|
|
31.08.2023 |
Pix2Pix |
This notebook demonstrates image to image translation using conditional GAN's |
Billy Lamberta |
|
|
31.08.2023 |
Image classification |
This tutorial shows how to classify images of flowers |
Billy Lamberta |
|
|
31.08.2023 |
Home Robot |
Low-level API for controlling various home robots |
Chris Paxton |
|
|
30.08.2023 |
Stable Diffusion 2 |
New stable diffusion model at 768x768 resolution. Same number of parameters in the U-Net as 1.5, but uses OpenCLIP-ViT/H as the text encoder and is trained from scratch |
|
- , , , , ,
- , , , ,
- , , ,
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26.08.2023 |
Brax |
A differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators |
|
|
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25.08.2023 |
ComfyUI |
Powerful and modular stable diffusion GUI and backend |
comfyanonymous |
|
|
22.08.2023 |
The Autodiff Cookbook |
You'll go through a whole bunch of neat autodiff ideas that you can cherry pick for your own work, starting with the basics |
|
|
|
18.08.2023 |
Composer |
PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy |
The Mosaic ML Team |
|
|
16.08.2023 |
Integrated gradients |
This tutorial demonstrates how to implement Integrated Gradients, an Explainable AI technique |
Google |
|
|
16.08.2023 |
Gorilla |
Finetuned LLaMA-based model that surpasses the performance of GPT-4 on writing API calls |
|
|
|
16.08.2023 |
High-performance simulations with TFF |
This tutorial will describe how to setup high-performance simulations with TFF in a variety of common scenarios |
Krzysztof Ostrowski |
|
|
15.08.2023 |
Building Your Own Federated Learning Algorithm |
We discuss how to implement federated learning algorithms without deferring to the tff.learning API |
Zachary Charles |
|
|
14.08.2023 |
Federated Learning for Text Generation |
We start with a RNN that generates ASCII characters, and refine it via federated learning |
Krzysztof Ostrowski |
|
|
14.08.2023 |
Custom Federated Algorithms, Part 1: Introduction to the Federated Core |
This tutorial is the first part of a two-part series that demonstrates how to implement custom types of federated algorithms in TensorFlow Federated using the Federated Core - a set of lower-level interfaces that serve as a foundation upon which we have implemented the Federated Learning layer |
Krzysztof Ostrowski |
|
|
14.08.2023 |
Custom Federated Algorithms, Part 2: Implementing Federated Averaging |
This tutorial is the second part of a two-part series that demonstrates how to implement custom types of federated algorithms in TFF using the Federated Core, which serves as a foundation for the Federated Learning layer |
Krzysztof Ostrowski |
|
|
14.08.2023 |
TFF for Federated Learning Research: Model and Update Compression |
We use the EMNIST dataset to demonstrate how to enable lossy compression algorithms to reduce communication cost in the Federated Averaging algorithm |
Weikang Song |
|
|
14.08.2023 |
Autoencoders |
This tutorial introduces autoencoders with three examples: the basics, image denoising, and anomaly detection |
Google |
|
|
14.08.2023 |
Deforum Stable Diffusion |
Open source project is designed to be free to use and easy to modify for custom needs and pipelines |
|
|
|
13.08.2023 |
xFormers |
Toolbox to Accelerate Research on Transformers |
|
|
|
11.08.2023 |
Deep RL Course |
The Hugging Face Deep Reinforcement Learning Course |
|
|
|
08.08.2023 |
Classify text with BERT |
This tutorial contains complete code to fine-tune BERT to perform sentiment analysis on a dataset of plain-text IMDB movie reviews |
Google |
|
|
08.08.2023 |
SoftVC VITS |
Singing Voice Conversion |
svc develop team |
|
|
31.07.2023 |
Image captioning |
Given an image our goal is to generate a caption |
Billy Lamberta |
|
|
25.07.2023 |
Word2Vec |
Word2Vec is not a singular algorithm, rather, it is a family of model architectures and optimizations that can be used to learn word embeddings from large datasets |
Google |
|
|
25.07.2023 |
Word embeddings |
This tutorial contains an introduction to word embeddings |
Billy Lamberta |
|
|
25.07.2023 |
Tortoise |
A multi-voice TTS system trained with an emphasis on quality |
James Betker |
|
|
15.07.2023 |
TRL |
Set of tools to train transformer language models with Reinforcement Learning, from the Supervised Fine-tuning step, Reward Modeling step to the Proximal Policy Optimization step |
|
|
|
14.07.2023 |
Petals |
Run 100B+ language models at home, BitTorrent-style |
BigScience |
|
|
05.07.2023 |
PEFT |
Parameter-Efficient Fine-Tuning methods enable efficient adaptation of pre-trained language models to various downstream applications without fine-tuning all the model's parameters |
|
|
|
28.06.2023 |
Epistemic Neural Networks |
A library for neural networks that know what they don't know |
|
|
|
26.06.2023 |
DeepFloyd IF |
State-of-the-art open-source text-to-image model with a high degree of photorealism and language understanding |
|
|
|
26.06.2023 |
normflows |
PyTorch implementation of discrete normalizing flows |
|
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|
26.06.2023 |
MyoSuite |
A collection of musculoskeletal environments and tasks simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API to enable the application of Machine Learning to bio-mechanic control problems |
|
|
|
16.06.2023 |
Audiocraft |
PyTorch library for deep learning research on audio generation |
|
|
|
11.06.2023 |
Nerfstudio |
API that allows for a simplified end-to-end process of creating, training, and testing NeRFs |
|
|
|
05.06.2023 |
Transformer |
This tutorial trains a Transformer model to translate Portuguese to English |
Billy Lamberta |
|
|
02.06.2023 |
Detectron2 |
FAIR's next-generation platform for object detection and segmentation |
Yuxin Wu |
|
|
26.05.2023 |
Anomalib |
Deep learning library that aims to collect state-of-the-art anomaly detection algorithms for benchmarking on both public and private datasets |
|
|
|
24.05.2023 |
MMAction2 |
An open-source toolbox for video understanding based on PyTorch |
MMAction2 Contributors |
- , , , , ,
- data, data, data, data
- , , , ,
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|
15.05.2023 |
ChatRWKV |
Like ChatGPT but powered by RWKV (100% RNN) language model, which is the only RNN that can match transformers in quality and scaling, while being faster and saves VRAM |
|
|
|
08.05.2023 |
Python Data Science Handbook |
Jupyter notebook version of the Python Data Science Handbook by Jake VanderPlas |
Jake Vanderplas |
|
|
05.05.2023 |
PGMax |
General factor graphs for discrete probabilistic graphical models, and hardware-accelerated differentiable loopy belief propagation in JAX |
|
|
|
05.05.2023 |
StableLM |
Stability AI Language Models |
Stability AI |
- blog post
- , , , , ,
- , ,
- , , ,
|
|
27.04.2023 |
TTS |
A library for advanced Text-to-Speech generation, built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed and quality |
|
|
|
26.04.2023 |
highway-env |
A collection of environments for autonomous driving and tactical decision-making tasks |
Edouard Leurent |
|
|
22.04.2023 |
OpenCLIP |
An open source implementation of CLIP |
|
- , , , , ,
- data, data, data
- , , ,
- , , , ,
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16.04.2023 |
Stable Baselines3 |
Set of reliable implementations of reinforcement learning algorithms in PyTorch |
|
|
|
14.04.2023 |
RL Baselines3 Zoo |
Training Framework for Stable Baselines3 Reinforcement Learning Agents |
Antonin Raffin |
|
|
14.04.2023 |
Grounded-SAM |
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect, Segment and Generate Anything |
IDEA-Research |
- ,
- , , , , , , , , , , , ,
- , , ,
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|
12.04.2023 |
SentencePiece |
An unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training |
|
|
|
08.04.2023 |
TorchGeo |
PyTorch domain library that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data |
|
|
|
29.03.2023 |
LAVIS |
Python deep learning library for LAnguage-and-VISion intelligence research and applications |
|
|
|
24.03.2023 |
Hello, many worlds |
This tutorial shows how a classical neural network can learn to correct qubit calibration errors |
Michael Broughton |
|
|
20.03.2023 |
Image segmentation |
This tutorial focuses on the task of image segmentation, using a modified U-Net |
Billy Lamberta |
|
|
17.03.2023 |
Tzer |
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation |
|
|
|
09.03.2023 |
Haiku |
A library built on top of JAX designed to provide simple, composable abstractions for machine learning research |
|
|
|
02.03.2023 |
Data augmentation |
This tutorial demonstrates data augmentation: a technique to increase the diversity of your training set by applying random transformations such as image rotation |
Billy Lamberta |
|
|
02.03.2023 |
SAHI |
A lightweight vision library for performing large scale object detection & instance segmentation |
|
|
|
23.02.2023 |
AmpliGraph |
A suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs |
|
|
|
23.02.2023 |
NMT with attention |
This notebook trains a seq2seq model for Spanish to English translation |
Billy Lamberta |
|
|
15.02.2023 |
GLUE using BERT on TPU |
This tutorial contains complete end-to-end code to train models on a TPU |
Google |
|
|
15.02.2023 |
Kornia |
Library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors |
|
|
|
11.02.2023 |
High-performance Simulation with Kubernetes |
This tutorial will describe how to set up high-performance simulation using a TFF runtime running on Kubernetes |
Jason Roselander |
|
|
31.01.2023 |
DALL·E Flow |
An interactive workflow for generating high-definition images from text prompt |
|
|
|
26.01.2023 |
Diffusers |
Provides pretrained diffusion models across multiple modalities, such as vision and audio, and serves as a modular toolbox for inference and training of diffusion models |
Hugging Face |
- , , , ,
- , , ,
- , , , ,
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|
17.01.2023 |
Sample Factory |
One of the fastest RL libraries focused on very efficient synchronous and asynchronous implementations of policy gradients |
|
|
|
17.01.2023 |
Open-Assistant |
Chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so |
|
|
|
14.01.2023 |
CleanRL |
Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features |
|
- , , , , , ,
- , , ,
- paper
- ,
|
|
12.01.2023 |
NeMo |
A conversational AI toolkit built for researchers working on automatic speech recognition, natural language processing, and text-to-speech synthesis |
|
|
|
05.01.2023 |
BANMo |
Given multiple casual videos capturing a deformable object, BANMo reconstructs an animatable 3D model, including an implicit canonical 3D shape, appearance, skinning weights, and time-varying articulations, without pre-defined shape templates or registered cameras |
|
|
|
30.12.2022 |
TF-Agents |
A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning |
|
|
|
15.12.2022 |
PyG |
Library built upon PyTorch to easily write and train Graph Neural Networks for a wide range of applications related to structured data |
|
- , , , , , , ,
- , , , , ,
- , ,
- , ,
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|
08.12.2022 |
ruGPT3 |
Example of inference of RuGPT3XL |
Anton Emelyanov |
|
|
07.12.2022 |
Stable Diffusion Videos |
Create videos with Stable Diffusion by exploring the latent space and morphing between text prompts |
Nathan Raw |
- ,
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|
05.12.2022 |
PyTerrier |
A Python framework for performing information retrieval experiments |
|
|
|
02.11.2022 |
DSP theory |
Theory of digital signal processing: signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc |
|
|
|
18.10.2022 |
Mubert |
Prompt-based music generation via Mubert API |
Ilya Belikov |
|
|
18.10.2022 |
Batch RL |
Offline RL using the DQN replay dataset comprising the entire replay experience of a DQN agent on 60 Atari 2600 games |
|
|
|
04.10.2022 |
EfficientDet |
New family of object detectors, called EfficientDet, which consistently achieve much better efficiency than prior art across a wide spectrum of resource constraints |
|
|
|
27.09.2022 |
ACME |
A library of reinforcement learning components and agents |
|
|
|
26.09.2022 |
RWKV |
Reinventing RNNs for the Transformer Era |
|
- , ,
- data
- demo
- , , , , , , , , ,
- ,
- ,
- website
- , ,
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|
21.09.2022 |
NetKet |
Open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and machine learning techniques |
|
|
|
15.09.2022 |
pymdp |
Package for simulating Active Inference agents in Markov Decision Process environments |
|
|
|
24.08.2022 |
Stable Diffusion |
A latent text-to-image diffusion model |
|
- , , ,
- , , , , ,
- , ,
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|
10.08.2022 |
Deep-MAC |
Welcome to the Novel class segmentation demo |
Vighnesh Birodkar |
|
|
09.08.2022 |
NL-Augmenter |
A collaborative effort intended to add transformations of datasets dealing with natural language |
|
|
|
06.08.2022 |
Accelerate |
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision |
Hugging Face |
|
|
27.07.2022 |
YOLOv5 on Custom Objects |
This notebook shows training on your own custom objects |
Jacob Solawetz |
|
|
20.07.2022 |
MindsEye |
Graphical user interface built to run multimodal ai art models for free from a Google Colab, without needing edit a single line of code or know any programming |
|
|
|
06.07.2022 |
py-irt |
Fitting Item Response Theory models using variational inference |
|
|
|
30.06.2022 |
SberSwap |
A new face swap method for image and video domains |
|
|
|
29.06.2022 |
BIG-bench |
A collaborative benchmark intended to probe large language models and extrapolate their future capabilities |
|
|
|
27.06.2022 |
HuggingArtists |
Choose your favorite Artist and train a language model to write new lyrics based on their unique voice |
Aleksey Korshuk |
- ,
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25.06.2022 |
Introduction to the TensorFlow Models NLP library |
You will learn how to build transformer-based models for common NLP tasks including pretraining, span labelling and classification using the building blocks from NLP modeling library |
Chen Chen |
|
|
22.06.2022 |
Cirq |
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum circuits |
|
|
|
21.06.2022 |
CLIP-as-service |
A low-latency high-scalability service for embedding images and text |
Han Xiao |
|
|
19.06.2022 |
Jina |
MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud |
Han Xiao |
|
|
11.06.2022 |
Flashlight |
Fast, flexible machine learning library written entirely in C++ |
|
- , , , , , , , , , ,
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|
01.06.2022 |
Evidently |
An open-source framework to evaluate, test and monitor ML models in production |
|
|
|
30.05.2022 |
RL Unplugged |
Suite of benchmarks for offline reinforcement learning |
|
- , , , , , , , , ,
- data
- ,
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|
26.05.2022 |
Text generation with RNN |
This tutorial demonstrates how to generate text using a character-based RNN |
Billy Lamberta |
|
|
02.05.2022 |
CLIPDraw |
Synthesize drawings to match a text prompt |
|
|
|
28.04.2022 |
deep-significance |
Easy-to-use package containing different significance tests and utility functions specifically tailored towards research needs and usability |
|
|
|
12.04.2022 |
Text classification with RNN |
This text classification tutorial trains a recurrent neural network on the IMDB large movie review dataset for sentiment analysis |
Billy Lamberta |
|
|
17.03.2022 |
RLDS |
Reinforcement Learning Datasets and it is an ecosystem of tools to store, retrieve and manipulate episodic data in the context of Sequential Decision Making including RL, Learning for Demonstrations, Offline RL or Imitation Learning |
|
- blog post
- , , ,
- , , , , , , , , ,
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16.03.2022 |
Real-Time Voice Cloning |
SV2TTS with a vocoder that works in real-time |
|
|
|
07.03.2022 |
BLIP |
VLP framework which transfers flexibly to both vision-language understanding and generation tasks |
|
|
|
02.03.2022 |
Silero Models |
Pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple |
Silero team |
|
|
27.02.2022 |
ArcaneGAN |
Process video in the style of the Arcane animated series |
Alexander Spirin |
|
|
17.02.2022 |
textlesslib |
A library aimed to facilitate research in Textless NLP |
|
|
|
15.02.2022 |
AV-HuBERT |
Self-supervised representation learning framework for audio-visual speech |
|
|
|
12.02.2022 |
Lingvo |
Framework for building neural networks in Tensorflow, particularly sequence models |
|
|
|
28.01.2022 |
RuDOLPH |
A fast and light text-image-text transformer designed for a quick and easy fine-tuning setup for the solution of various tasks: from generating images by text description and image classification to visual question answering and more |
|
|
|
14.01.2022 |
DeepDream |
This tutorial contains a minimal implementation of DeepDream: an experiment that visualizes the patterns learned by a neural network |
Billy Lamberta |
|
|
13.01.2022 |
MLP |
The most basic neural network architectures, a multilayer perceptron, also known as a feedforward network |
Ben Trevett |
|
|
26.12.2021 |
AlexNet |
A neural network model that uses convolutional neural network layers and was designed for the ImageNet challenge |
Ben Trevett |
|
|
26.12.2021 |
VGG |
Very Deep Convolutional Networks for Large-Scale Image Recognition |
Ben Trevett |
|
|
26.12.2021 |
LeNet |
A neural network model that uses convolutional neural network layers and was designed for classifying handwritten characters |
Ben Trevett |
|
|
26.12.2021 |
FLAML |
Lightweight Python library that finds accurate machine learning models automatically, efficiently and economically |
|
|
|
17.12.2021 |
CompilerGym |
A reinforcement learning toolkit for compiler optimizations |
|
|
|
16.11.2021 |
DeepStyle |
The Neural Style algorithm synthesizes a pastiche by separating and combining the content of one image with the style of another image using convolutional neural networks |
|
|
|
01.10.2021 |
Text2Animation |
Generate images from text phrases with VQGAN and CLIP with animation and keyframes |
|
|
|
29.09.2021 |
EfficientNetV2 |
A family of image classification models, which achieve better parameter efficiency and faster training speed than prior arts |
|
|
|
24.09.2021 |
Droidlet |
A modular embodied agent architecture and platform for building embodied agents |
|
|
|
15.09.2021 |
GPT-J-6B |
A 6 billion parameter, autoregressive text generation model trained on The Pile |
|
|
|
15.09.2021 |
Sentence Transformers |
Multilingual Sentence, Paragraph, and Image Embeddings using BERT & Co |
|
|
|
13.09.2021 |
Machine learning course |
This course is broad and shallow, but author will provide additional links so that you can deepen your understanding of the ML method you need |
Тимчишин Віталій |
- blog post
- , , , , , , , , , ,
|
|
02.09.2021 |
Lucid Sonic Dreams |
Syncs GAN-generated visuals to music |
Mikael Alafriz |
|
|
24.08.2021 |
textgenrnn |
Generate text using a pretrained neural network with a few lines of code, or easily train your own text-generating neural network of any size and complexity |
Max Woolf |
|
|
13.07.2021 |
TensorRT |
SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications |
nvidia |
|
|
10.06.2021 |
BasicSR |
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. |
|
- , , , , , , , , , , ,
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07.06.2021 |
Hyperopt |
Python library for serial and parallel optimization over awkward search spaces, which may include real-valued, discrete, and conditional dimensions |
|
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|
01.06.2021 |
CNN |
This tutorial demonstrates training a simple Convolutional Neural Network to classify CIFAR images |
Billy Lamberta |
|
|
21.05.2021 |
Custom GPT-2 + Tokenizer |
Train a custom GPT-2 model for free on a GPU using aitextgen! |
Max Woolf |
|
|
17.05.2021 |
Train a GPT-2 Text-Generating Model |
Retrain an advanced text generating neural network on any text dataset for free on a GPU using Colaboratory using aitextgen! |
Max Woolf |
|
|
17.05.2021 |
EasyNMT |
Easy to use, state-of-the-art machine translation for more than 100+ languages |
Nils Reimers |
|
|
26.04.2021 |
OCTIS |
Framework for training, analyzing, and comparing Topic Models, whose optimal hyper-parameters are estimated using a Bayesian Optimization approach |
|
|
|
19.04.2021 |
PyTorchVideo |
Deeplearning library with a focus on video understanding work |
|
|
|
13.04.2021 |
GPT Neo |
An implementation of model & data parallel GPT2 & GPT3 -like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library |
EleutherAI |
|
|
28.03.2021 |
CVAE |
This notebook demonstrates how train a Variational Autoencoder on the MNIST dataset |
Billy Lamberta |
- ,
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22.03.2021 |
DCGAN |
This tutorial demonstrates how to generate images of handwritten digits using a Deep Convolutional Generative Adversarial Network |
Billy Lamberta |
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12.03.2021 |
Adversarial FGSM |
This tutorial creates an adversarial example using the Fast Gradient Signed Method attack. This was one of the first and most popular attacks to fool a neural network. |
Billy Lamberta |
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12.03.2021 |
GAN steerability |
We will navigate in GAN latent space to simulate various camera transformations |
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04.03.2021 |
Trax |
End-to-end library for deep learning that focuses on clear code and speed |
Google |
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17.02.2021 |
bsuite |
A collection of carefully-designed experiments that investigate core capabilities of an RL agent with two main objectives |
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13.02.2021 |
TF-Ranking |
End-to-end walkthrough of training a TensorFlow Ranking neural network model which incorporates sparse textual features |
Rama Kumar |
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04.02.2021 |
Toon-Me |
A fun project to toon portrait images |
Vijish Madhavan |
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22.01.2021 |
TensorNetwork |
A library for easy and efficient manipulation of tensor networks |
Chase Roberts |
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21.01.2021 |
Spleeter |
Deezer source separation library including pretrained models |
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10.01.2021 |
Person Remover |
Project that combines Pix2Pix and YOLO arhitectures in order to remove people or other objects from photos |
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22.08.2020 |
Semantic Segmentation |
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset |
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21.08.2020 |
Gin Config |
Lightweight configuration framework for Python, based on dependency injection |
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13.08.2020 |
CoVoST |
A Large-Scale Multilingual Speech-To-Text Translation Corpus |
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07.08.2020 |
Dopamine |
Research framework for fast prototyping of reinforcement learning algorithms |
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03.08.2020 |
Analyzing Tennis Serve |
We'll use the Video Intelligence API to analyze a tennis serve, including the angle of the arms and legs during the serve |
Dale Markowitz |
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14.07.2020 |
Eager Few Shot Object Detection |
Fine tuning of a RetinaNet architecture on very few examples of a novel class after initializing from a pre-trained COCO checkpoint |
kmindspark |
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11.07.2020 |
Optuna |
An automatic hyperparameter optimization software framework, particularly designed for machine learning |
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08.07.2020 |
YOLOv4 |
This tutorial will help you build YOLOv4 easily in the cloud with GPU enabled so that you can run object detections in milliseconds! |
Alexey Bochkovskiy |
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25.06.2020 |
Context R-CNN Demo |
This notebook will walk you step by step through the process of using a pre-trained model to build up a contextual memory bank for a set of images, and then detect objects in those images+context using Context R-CNN |
pkulzc |
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17.06.2020 |
TensorFlow Graphics |
Differentiable computer graphics in tensorflow |
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20.05.2020 |
Background Matting |
The notebook is split into three parts: required setup, running the algorithm on photos, and running it on videos |
Andrey Ryabtsev |
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18.05.2020 |
GAN Dissection |
Visualizing and Understanding Generative Adversarial Networks |
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04.05.2020 |
Sonnet |
Library built on top of TensorFlow 2 designed to provide simple, composable abstractions for machine learning research |
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17.04.2020 |
Classification of chest vs. adominal X-rays |
The goal of this tutorial is to build a deep learning classifier to accurately differentiate between chest and abdominal X-rays |
tmoneyx01 |
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07.03.2020 |
Lung X-Rays Semantic Segmentation |
This lesson applies a U-Net for Semantic Segmentation of the lung fields on chest x-rays |
tmoneyx01 |
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07.03.2020 |
Earth Engine Python API and Folium Interactive Mapping |
This notebook demonstrates how to setup the Earth Engine and provides several examples for visualizing Earth Engine processed data interactively using the folium library |
Qiusheng Wu |
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20.01.2020 |
Train a GPT-2 Model on Tweets |
Train the model on your downloaded tweets, and generate massive amounts of Tweets from it |
Max Woolf |
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16.01.2020 |
Tensor2Tensor |
Library for deep learning models that is well-suited for neural machine translation and includes the reference implementation of the state-of-the-art Transformer model |
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14.01.2020 |
Traffic counting |
Making Road Traffic Counting App based on Computer Vision and OpenCV |
Andrey Nikishaev |
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10.01.2020 |
Imagededup |
This package provides functionality to make use of hashing algorithms that are particularly good at finding exact duplicates as well as convolutional neural networks which are also adept at finding near duplicates |
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03.10.2019 |
automl-gs on a TPU |
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow |
Max Woolf |
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26.03.2019 |
RSNA Pneumonia Detection Challenge (Kaggel API) |
The basics of parsing the competition dataset, training using a detector basd on the Mask-RCNN algorithm for object detection and instance segmentation |
tmoneyx01 |
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03.09.2018 |
RSNA Pneumonia Detection Challenge (MD.ai API) |
The basics of parsing the competition dataset, training using a detector basd on the Mask-RCNN algorithm for object detection and instance segmentation |
tmoneyx01 |
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29.08.2018 |
HoF |
This notebook will walk you step by step through the process of using a pre-trained model to detect faces in an image |
Lucas Persona |
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15.03.2018 |