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6000d-project

This is the repo for 6000D(Graph Processing and Analytics) final proj of HKUST-GZ

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

assets

This repository is used for release to help development

awesome_llm_system-paperlist

Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papers on accelerating LLMs, currently focusing mainly on inference acceleration, and related works will be gradually added in the future. Welcome contributions!

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

cmdline

A Command Line Parser

compile_llvm_to_gcn

cs-self-learning

计算机自学指南

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cudalibrarysamples

CUDA Library Samples

cutlass

CUDA Templates for Linear Algebra Subroutines

cutlasshelloworld

This is a repo for Cutlass learning.

dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

dp-nblist

[WIP] Resable and Modular Neighborlist Lib

galeselee

The description card

galeselee.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

highlevelchipdesign

hoscf

HOSCF: EFFICIENT DECOUPLING ALGORITHMS FOR FINDING THE1 BEST RANK-ONE APPROXIMATION OF HIGHER-ORDER TENSORS

jekyllhelloworld

This repo is a tutorial for Jekyll learning.

lightllm

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

llama

Inference code for LLaMA models

llm.c

LLM training in simple, raw C/CUDA

llvm-amdgpu-assembler-extra

LLVM AMDGPU Assembler Helper Tools

mgg

Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.

mlperf_inference

Reference implementations of MLPerf™ inference benchmarks

molcpp

[WIP] C++ Kernel for MolPy

nccl

Optimized primitives for collective multi-GPU communication

nccl-tests

NCCL Tests