Python 排行榜

A Lightweight, Configuration-Driven, Flexible Fine-Tuning Framework for 🤗 Diffusers

[WSDM 2026] LookAhead Tuning: Safer Language Models via Partial Answer Previews

Implementation of ResFit, Residual Off-Policy RL for Finetuning Behavior Cloning Policies

Fine-tuning Resnet-50 FPN based DNN for road crack detection on RDD2022

Making MoE fine-tuning accessible to anyone with consumer hardware.

weighted category-balanced dataset builder for LLM fine-tuning

fine-tuning of the Segment-Anything model by MetaAI

AI快站是专为AI开发者打造的HuggingFace资源镜像加速服务网站。已支持 6 种下载方式（网页/CLI/HF CLI/Py Env/Git/Ollama），自带断点续传 & 免费镜像加速！

Conversation support for Home Assistant using HuggingChat.

Generate summaries from texts using Streamlit & HuggingFace Pipeline

Collection of OSS models that are containerized into a serving container

HFCommunity offers an offline up-to-date relational database built from the data available at the Hugging Face Hub, providing queriable data about the repositories hosted in the Hub

This repository implements pi0, pi0fast and smolvla models on sim and real robots using Lerobot interface

Retrieval-Augmented Generation on PDF for Free, Integrated with Memory to recall previous interactions, it operates as a sophisticated lang-chain application.

chap - A Python interface to chatgpt, including a terminal user interface (tui)

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

Empower Truly Autonomous AI Agents through our Experimental Adversarial and Evolutionary Reinforcement Learning Framework. Join our Community: https://t.me/evolveRL_portal

Official PyTorch Implementation for the "Learning on Model Weights using Tree Experts" paper (CVPR 2025).

Nautobot Model Context Protocol (MCP) Server - Contains STDIO and HTTP Deployments with Embedding Search and RAG.

Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.