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Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilizatio…
Phi2-Chinese-0.2B 从0开始训练自己的Phi2中文小模型，支持接入langchain加载本地知识库做检索增强生成RAG。Training your own Phi2 small chat model from scratch.
中文对话0.2B小模型（ChatLM-Chinese-0.2B），开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调，给出三元组信息抽取微调示例。
Ongoing research training transformer models at scale
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
A high-performance inference system for large language models, designed for production environments.
A series of large language models trained from scratch by developers @01-ai
4 bits quantization of LLaMA using GPTQ
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
OpenPose uses Pytorch for static quantization, saving, and loading of models
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A machine learning compiler for GPUs, CPUs, and ML accelerators
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
functorch is JAX-like composable function transforms for PyTorch.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
Making large AI models cheaper, faster and more accessible
Convert Machine Learning Code Between Frameworks
《Machine Learning Systems: Design and Implementation》- Chinese Version
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.