orefeng

orefeng's Stars

• ydyjya/Awesome-LLM-Safety

  A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the safety implications, challenges, and advancements surrounding these powerful models.

  1.1k57

• doocs/leetcode

  🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

  Language:Java32.5k8k

• wangshusen/SearchEngine

  搜索引擎原理

  1.5k130

• Doragd/Algorithm-Practice-in-Industry

  搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

  Language:Python2.8k346

• nxpeng9235/MachineLearningFAQ

  Machine Learning FAQ

  28164

• Vonng/ddia

  《Designing Data-Intensive Application》DDIA中文翻译

  Language:Python20.7k4.3k

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python15.3k2.6k

• CarperAI/trlx

  A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

  Language:Python4.6k472

• Guitaricet/relora

  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates

  Language:Jupyter Notebook44037

• FlagOpen/FlagEmbedding

  Retrieval and Retrieval-augmented LLMs

  Language:Python8.2k599

• modelscope/ms-swift

  Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, ...) or 150+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL2, Phi3.5-Vision, GOT-OCR2, ...).

  Language:Python5k432

• open-compass/opencompass

  OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

  Language:Python4.5k472

• microsoft/AdaMix

  This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.12410).

  Language:Python12611

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python37.6k4.6k

• baichuan-inc/Baichuan-13B

  A 13B large language model developed by Baichuan Intelligent Technology

  Language:Python3k235

• tatsu-lab/alpaca_farm

  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

  Language:Python78959

• allenai/open-instruct

  Language:Python2.3k263

• InternLM/InternLM

  Official release of InternLM2.5 base and chat models. 1M context support

  Language:Python6.6k466

• PKU-YuanGroup/ChatLaw

  ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

  7k549

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.7k837

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.7k1.9k

• OpenBMB/BMInf

  Efficient Inference for Big Models

  Language:Python57367

• keirp/automatic_prompt_engineer

  Language:Python1.2k153

• RimaBuilds/AutoGPT-handbook

  A guide to using AutoGPT for code generation and prompt engineering.

  15317

• promptslab/Promptify

  Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

  Language:Jupyter Notebook3.4k248

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.8k3.6k

• thunlp/UltraChat

  Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

  Language:Python2.3k117

• ChaosCodes/ProPETL

  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning

  Language:Python383

• CLUEbenchmark/CLUE

  中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

  Language:Python4k542

• LianjiaTech/BELLE

  BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

  Language:HTML8k765