-
USTC
- NanJing
Starred repositories
Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A modular RL library to fine-tune language models to human preferences
Rapid fuzzy string matching in Python using various string metrics
中文 NLP 预处理、解析工具包,准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com
Production First and Production Ready End-to-End Speech Recognition Toolkit
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Lecture notes, projects and other materials for Course 'CS219 Advanced Programming' at Southern University of Science and Technology.
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
Simple example of FastAPI + Celery + Triton for benchmarking
A quickstart and benchmark for pytorch distributed training.
Dialogue State Tracking (DST) Papers, Datasets, Resources 🤩
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…
MLNLP:本仓库整理人工智能会议(如 ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、ICLR、NeurIPS、ICML 等)中开源代码的论文。
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
Some basic examples of playing with RL
Prefix-Tuning: Optimizing Continuous Prompts for Generation
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
dialogbot, provide search-based dialogue, task-based dialogue and generative dialogue model. 对话机器人,基于问答型对话、任务型对话、聊天型对话等模型实现,支持网络检索问答,领域知识问答,任务引导问答,闲聊问答,开箱即用。