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followers: 10.0 following: 33.0 repos: 30.0 gists: 0.0

Name: Shang

Type: User

Bio: Still in the process to figure out who am I.

Shang's Projects

awesome-public-datasets

A topic-centric list of HQ open datasets.

black

The uncompromising Python code formatter

cs344_2021

Udacity CS344 Introduction to Parallell Programming (https://classroom.udacity.com/courses/cs344), with assignments/materials updated to build in 2021

docker-stacks

Ready-to-run Docker images containing Jupyter applications

dotfiles

YADR - The best vim,git,zsh plugins and the cleanest vimrc you've ever seen

draw_pytorch

DRAW: A Recurrent Neural Network For Image Generation

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fbgemm

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.