Stas Bekman's Projects
A simple way to train and use NLP models with multi-GPU, TPU, mixed-precision
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
an effort to resist Internet entropy - save useful knowledge
An informative and fancy bash prompt for Git users
Bash tools
make your debug printing more friendly
Benchmarks are the key to sustainable software developement
8-bit CUDA functions for PyTorch
Public repo for HF blog posts
Codebase for the project
Source code examples from the Parallel Forall Blog
Commands and tools for building conda packages
Conda documentation
helper tools for the conda environment
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
The 3rd edition of course.fast.ai - coming in 2019
Code for Stanford CS224u
🤗 Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Example models using DeepSpeed
The official Emacswiki repository
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
PyTorch extensions for high performance and large scale training.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The fast.ai deep learning library, lessons, and tutorials
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent