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Blog.

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepspeed-mii

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

dotfiles

dotfiles for frontend-developer and python-user, including: vim(support vue files and python pylint), tmux, zsh(with oh-my-zsh)

eslint-config-alloy

AlloyTeam ESLint 规则

inference

Reference implementations of MLPerf™ inference benchmarks

intel-extension-for-deepspeed

intel-extension-for-transformers

Extending Hugging Face transformers APIs for Transformer-based models and improve the productivity of inference deployment. With extremely compressed models, the toolkit can greatly improve the inference efficiency on Intel platforms.

lkp-tests

Linux Kernel Performance tests(Outside Intel)

megatron-deepspeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

models

采用MegEngine实现的各种主流深度学习模型

moocwiki

os_exercises

清华大学OS公开课——课后练习

qademo

tangpoetrygenerate

torch2mge

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformers-bloom-inference

Fast Inference Solutions for BLOOM

ucore_lab

Lab Codes for MOOC OS course in Tsinghua University.

vim-autoformat

Provide easy code formatting in Vim by integrating existing code formatters.

vux2

A full-featured Webpack + vue-loader setup with hot reload, linting, testing & css extraction.