aptlin's Stars
yanirs/established-remote
A list of established remote companies
tommedema/startup-boilerplate
A startup CTO's opinionated JAM stack boilerplate for quickly bootstrapping a statically typed Serverless monorepo. 🚀
mhyfritz/scientific-paper-markdown-template
Write a scientific paper in Markdown
nalepae/pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
bachmanm/failure-detectors
Agreement in Asynchronous Distributed Systems
amarasovic/interpretability-literature
sannykim/transformer
A collection of resources to study Transformers in depth.
thunlp/PLMpapers
Must-read Papers on pre-trained language models.
fastai/course-nlp
A Code-First Introduction to NLP course
NVIDIA/NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
cmawer/reproducible-model
worldmodels/worldmodels.github.io
World Models
esokolov/ml-course-hse
Машинное обучение на ФКН ВШЭ
musco-ai/musco-pytorch
MUSCO: MUlti-Stage COmpression of neural networks
dkozlov/awesome-knowledge-distillation
Awesome Knowledge Distillation
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
tensorflow/ecosystem
Integration of TensorFlow with other open-source frameworks
nolanliou/mobile-deeplab-v3-plus
Deeplab-V3+ model with MobilenetV2/MobilenetV3 on TensorFlow for mobile deployment.
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
GoogleCloudPlatform/ml-on-gcp
Machine Learning on Google Cloud Platform
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
dkumazaw/mobilenets-tpu
MobileNetV3 tf.keras implementation with pre-trained weights using the TPU Estimator API
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
juliagusak/model-compression-and-acceleration-progress
Repository to track the progress in model compression and acceleration
AssemblyScript/assemblyscript
A TypeScript-like language for WebAssembly.
spwhitt/cclabel
Python implementation of connected component labeling
denoland/deno
A modern runtime for JavaScript and TypeScript.