hunxuewangzi

hunxuewangzi's Stars

• ChatGPTNextWeb/ChatGPT-Next-Web

  A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini/Claude LLM 应用。

  Language:TypeScript78.5k4203.3k60k

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.2k5281.1k9.7k

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript32.9k2904k5.7k

• QwenLM/Qwen

  The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

  Language:Python15.3k1131.1k1.2k

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.8k1192073.4k

• QwenLM/Qwen2.5

  Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Shell11.7k73901705

• lucidrains/vector-quantize-pytorch

  Vector (and Scalar) Quantization, in Pytorch

  Language:Python2.8k30137231

• chatgpt-web-dev/chatgpt-web

  A third-party ChatGPT Web UI page built with Express and Vue3, through the official OpenAI completion API. / 用 Express 和 Vue3 搭建的第三方 ChatGPT 前端页面, 基于 OpenAI 官方 completion API.

  Language:Vue1.7k15459449

• AetherCortex/Llama-X

  Open Academic Research on Improving LLaMA to SOTA LLM

  Language:Python1.6k4221103

• 79E/ChatGpt-Web

  A commercially-viable ChatGpt web application built with React. 使用React搭建的一款可商业化的ChatGpt Web应用。

  Language:TypeScript1.4k1568473

• zjunlp/KnowledgeEditingPapers

  Must-read Papers on Knowledge Editing for Large Language Models.

  98427865

• replicate/llama-chat

  A boilerplate for creating a Llama 3 chat app

  Language:JavaScript8362531317

• OpenMOSS/AnyGPT

  Code for "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"

  Language:Python816214266

• BatsResearch/bonito

  A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

  Language:Python727122946

• SpursGoZmy/Tabular-LLM

  本项目旨在收集开源的表格智能任务数据集（比如表格问答、表格-文本生成等），将原始数据整理为指令微调格式的数据并微调LLM，进而增强LLM对于表格数据的理解，最终构建出专门面向表格智能任务的大型语言模型。

  5172738

• xiaohu2015/nngen

  Language:Jupyter Notebook4712376

• swasun/VQ-VAE-Speech

  PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

  Language:Python26713553

• replicate/getting-started-nextjs

  A Next.js starter app using Replicate

  Language:JavaScript224257119

• DAMO-NLP-SG/SeaLLMs

  [ACL 2024 Demo] SeaLLMs - Large Language Models for Southeast Asia

  Language:JavaScript152141213

• godaai/llm-table-survey

  Resources on Large Language Models for Table Processing

  83107

• theislab/trVAE

  Conditional out-of-distribution prediction

  Language:Python5661012

• chujiezheng/LLM-MCQ-Bias

  Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"

  Language:Python36260

• hkust-vgd/MarineGPT

  The official implementation of MarineGPT

  Language:Python24301

• EleutherAI/pile-pubmedcentral

  A script for collecting the PubMed Central dataset in a language modelling friendly format.

  Language:Python23312

• BatsResearch/nayak-aclfindings24-code

  Language:Python19221

• ITRECLab/Zh-MT-LLM

  中文海事大模型郑和（Zh-LLM）

  Language:Python13002

• HelloWorldLTY/CVQVAE

  Codes for paper: CVQVAE: A REPRESENTATION LEARNING METHOD FOR MULTI-OMICS SINGLE CELL DATA INTEGRATION

  Language:Python8200

• SunkyuKim/VAECox

  ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data

  Language:Python7102

• kasparmartens/shared-private-multimodalVAE

  PyTorch implementation for shared-private Multimodal Variational Autoencoders

  Language:Python6102

• hkust-vgd/Marine_GPT-4V_Eval

  The official repository of "Exploring Boundary of GPT-4V on Marine Analysis: A Preliminary Case Study".

  321