hanouticelina's Stars
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
hindupuravinash/the-gan-zoo
A list of all named GANs!
openai/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
huggingface/accelerate
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
nashory/gans-awesome-applications
Curated list of awesome GAN applications and demo
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
zedr/clean-code-python
:bathtub: Clean Code concepts adapted for Python
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
IgorSusmelj/pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
ContinualAI/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
google-research/fixmatch
A simple method to perform semi-supervised learning with limited data.
toshas/torch-fidelity
High-fidelity performance metrics for generative models in PyTorch
sbharadwajj/awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
bayesiains/nflows
Normalizing flows in PyTorch
Continvvm/continuum
A clean and simple data loading library for Continual Learning
arthurdouillard/incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
jiesutd/Text-Attention-Heatmap-Visualization
Plot the vector graph of attention based text visualisation
KovenYu/MAR
Pytorch code for our CVPR'19 (oral) work: Unsupervised person re-identification by soft multilabel learning
simonwsw/deep-soli
Gesture Recognition Using Neural Networks with Google's Project Soli Sensor
AmineDjeghri/awesome-os-setup
Windows & Linux automated scripts & docs to improve your UX & productivity (including WSL2, conda, GPU drivers & development tools)
WilliamYi96/Awesome-Zero-Shot-Learning
Latest progresses (papers & datasets) of zero-shot learning.
ThomasRobertFr/ml-project-structure
Basic structure for machine learning projects
giuseppepastore10/STRICT
Official code for the paper: "A Closer Look at Self-training for Zero-Label Semantic Segmentation" https://arxiv.org/abs/2104.11692