zhichengg

zhichengg's Stars

• AdaCheng/VidEgoThink

  The official code and data for paper "VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI"

  Language:Python5

• CatMe0w/zouxian

  Permanent Apple Intelligence + Xcode Predictive Code Completion for Chinese-market Mac computers

  Language:Shell76230

• OpenRLHF/OpenRLHF

  An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)

  Language:Python3.4k314

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

  5.9k322

• MLNLP-World/SimBiber

  MLNLP社区用来帮助缩短参考文献的工具。A tool for simplifying bibtex with official info

  Language:Python44036

• yuchenlin/rebiber

  A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

  Language:Python2.7k161

• dottxt-ai/outlines

  Structured Text Generation

  Language:Python10.2k530

• RManLuo/Awesome-LLM-KG

  Awesome papers about unifying LLMs and KGs

  2.1k160

• RUC-NLPIR/FlashRAG

  ⚡FlashRAG: A Python Toolkit for Efficient RAG Research

  Language:Python1.5k125

• yangjianxin1/Firefly

  Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

  Language:Python6k533

• xingyaoww/mint-bench

  Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Zihan Wang*, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng and Heng Ji.

  Language:Python1098

• LetheSec/HuggingFace-Download-Accelerator

  利用HuggingFace的官方下载工具从镜像网站进行高速下载。

  Language:Python89583

• OpenGenerativeAI/llm-colosseum

  Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

  Language:Jupyter Notebook1.4k161

• yunlong10/Awesome-LLMs-for-Video-Understanding

  🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

  1.7k88

• joonspk-research/generative_agents

  Generative Agents: Interactive Simulacra of Human Behavior

  18k2.3k

• RLHFlow/RLHF-Reward-Modeling

  Recipes to train reward model for RLHF.

  Language:Python1.1k74

• sotopia-lab/sotopia

  Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)

  Language:Python17323

• THUNLP-MT/StableToolBench

  A new tool learning benchmark aiming at well-balanced stability and reality, based on ToolBench.

  Language:Python12215

• wall-flipping/SSV2RayTrojanClashSSR

  SS节点，clash节点，自由上网科学上网建议，客户端自取

  1.2k87

• maitrix-org/llm-reasoners

  A library for advanced large language model reasoning

  Language:Python1.6k138

• LLaMafia/llamafia.github

  Language:Python31716

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python170k44.7k

• FasterDecoding/Medusa

  Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

  Language:Jupyter Notebook2.4k163

• sambanova/toolbench

  ToolBench, an evaluation suite for LLM tool manipulation capabilities.

  Language:Python14411

• eugeneyan/open-llms

  📋 A list of open LLMs available for commercial use.

  11.4k762

• princeton-nlp/tree-of-thought-llm

  [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

  Language:Python5k463

• kyegomez/tree-of-thoughts

  Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

  Language:Python4.4k366

• wiwikuan/chordfinder

  不囉唆的和弦代號查詢器 by NiceChord 好和弦

  Language:HTML657

• lucidrains/PaLM-rlhf-pytorch

  Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

  Language:Python7.7k671

• wyu97/GenRead

  Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.

  Language:Python28319