Liangliang-Ma

transformers

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

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

cartwheel-libjpeg-turbo

Intel developer staging area for unmerged upstream patch contributions to libjpeg-turbo

DeepSpeed

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

ds_allreduce_bench

allreduce benchmark using deepspeed

intel-extension-for-deepspeed

Intel® Extension for DeepSpeed* is an extension that brings Intel GPU (XPU) support to DeepSpeed.

intel-extension-for-transformers

⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

test-ci-repo

training

Reference implementations of MLPerf™ training benchmarks

transformers

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

Liangliang-Ma/accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

Liangliang-Ma/cartwheel-libjpeg-turbo

Intel developer staging area for unmerged upstream patch contributions to libjpeg-turbo

Liangliang-Ma/DeepSpeed

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

Liangliang-Ma/ds_allreduce_bench

allreduce benchmark using deepspeed

Liangliang-Ma/intel-extension-for-deepspeed

Intel® Extension for DeepSpeed* is an extension that brings Intel GPU (XPU) support to DeepSpeed.

Liangliang-Ma/intel-extension-for-transformers

⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

Liangliang-Ma/test-ci-repo

Liangliang-Ma/training

Reference implementations of MLPerf™ training benchmarks

Liangliang-Ma/transformers

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