Yu Fan's starred repositories

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Language:PythonLicense:MITStargazers:33853Issues:354Issues:298

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:33069Issues:344Issues:62

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Language:PythonLicense:Apache-2.0Stargazers:17770Issues:185Issues:728

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Language:PythonLicense:NOASSERTIONStargazers:12257Issues:221Issues:606

Open-Sora-Plan

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

Language:PythonLicense:Apache-2.0Stargazers:10744Issues:161Issues:182

QAnything

Question and Answer based on Anything.

Language:PythonLicense:Apache-2.0Stargazers:10222Issues:95Issues:314

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Language:PythonLicense:MITStargazers:8556Issues:81Issues:34

unstructured

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Language:HTMLLicense:Apache-2.0Stargazers:7202Issues:50Issues:984
Language:PythonLicense:Apache-2.0Stargazers:6959Issues:67Issues:64

CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

Language:PythonLicense:Apache-2.0Stargazers:5498Issues:65Issues:390

self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型,更适合中国宝宝的部署教程

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:5288Issues:50Issues:77

CLUEDatasetSearch

搜索所有中文NLP数据集,附常用英文NLP数据集

Chinese-CLIP

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

Language:PythonLicense:MITStargazers:3854Issues:36Issues:294

langchaingo

LangChain for Go, the easiest way to write LLM-based programs in Go

NExT-GPT

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

Language:PythonLicense:BSD-3-ClauseStargazers:2995Issues:60Issues:87

Ask-Anything

[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

Language:PythonLicense:MITStargazers:2800Issues:37Issues:180

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

Language:PythonLicense:Apache-2.0Stargazers:1920Issues:41Issues:78

TinyGPT-V

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Language:PythonLicense:BSD-3-ClauseStargazers:1210Issues:19Issues:32

llm_interview_note

主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题

MobileVLM

Strong and Open Vision Language Assistant for Mobile Devices

Language:PythonLicense:Apache-2.0Stargazers:860Issues:21Issues:48

clip.cpp

CLIP inference in plain C/C++ with no extra dependencies

calculate-flops.pytorch

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

Language:PythonLicense:MITStargazers:358Issues:3Issues:24

lxd-ui

Easy and accessible container and virtual machine management. A browser interface for LXD

Language:TypeScriptLicense:GPL-3.0Stargazers:239Issues:17Issues:91

vit.cpp

Inference Vision Transformer (ViT) in plain C/C++ with ggml

Language:C++License:MITStargazers:192Issues:6Issues:7

Efficient_Foundation_Model_Survey

Survey Paper List - Efficient LLM and Foundation Models

merlin

Merlin: Empowering Multimodal LLMs with Foresight Minds

Language:PythonLicense:NOASSERTIONStargazers:69Issues:6Issues:3

mddox

Markdown documentation generator tool

Language:C#License:MITStargazers:36Issues:2Issues:16

CS224n-2023-solution

The newest solution for CS224n: Stanford NLP.(作业代码实现)

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ServerManager

实验室服务器管理

citationista

A Citation Manager and Zotero Integration for RemNote! Cite research all within your knowledge base!

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