Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
An open-source AI agent that brings the power of Gemini directly into your terminal.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
Hydra is a framework for elegantly configuring complex applications
校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
🔍 一个功能强大的 Telegram 聊天记录搜索工具,支持向量搜索和语义匹配。A powerful Telegram chat search tool with vector search and semantic matching capabilities.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
Fast and memory-efficient exact attention
Tools for merging pretrained large language models.
Kolosal AI is an OpenSource and Lightweight alternative to LM Studio to run LLMs 100% offline on your device.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
An elegant PyTorch deep reinforcement learning library.
Machine Learning Engineering Open Book
SGLang is a fast serving framework for large language models and vision language models.
A framework for few-shot evaluation of language models.
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
My learning notes/codes for ML SYS.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of exp…
scikit-learn: machine learning in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!