RuiminChen

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

ColossalAI

Making large AI models cheaper, faster and more accessible

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

numpy

The fundamental package for scientific computing with Python.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

llama2.c

Inference Llama 2 in one file of pure C

ChatGLM2-6B

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

triton

Development repository for the Triton language and compiler

Megatron-LM

Ongoing research training transformer models at scale

mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

GLM-130B

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

Pretrained-Language-Model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Surface-Defect-Detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Code-LMs

Guide to using pre-trained large language models of source code

LVM

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

CUDA-PointPillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

cpufp

A CPU tool for benchmarking the peak of floating points

DnCNN-PyTorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

depyf

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

retinamask

RetinaMask

veGiantModel

SPACH

RoMe

ByteMLPerf

AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

admm_nn

Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement