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Cheng Li's Projects

accelerate icon accelerate

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

acm-ccs icon acm-ccs

ACM Computing Classification System

aitemplate icon aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

autogptq icon autogptq

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

cmu-cs11-711 icon cmu-cs11-711

Solutions of the CMU Advanced Natural Language Processing Course

cogview2 icon cogview2

official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"

cudnn_scope icon cudnn_scope

Benchmark cuDNN for different Deep Learning layers.

dalle-mini icon dalle-mini

DALLΒ·E Mini - Generate images from a text prompt

dalle2-pytorch icon dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

deepspeed icon deepspeed

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

dino icon dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

flexgen icon flexgen

Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput large-batch generation.

imaginaire icon imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

kernl icon kernl

Kernl lets you run Pytorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

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