kylehuang

kylehuang's Stars

• alist-org/alist

  🗂️A file list/WebDAV program that supports multiple storages, powered by Gin and Solidjs. / 一个支持多存储的文件列表/WebDAV程序，使用 Gin 和 Solidjs。

  Language:Go42.6k1953.6k5.5k

• hiyouga/LLaMA-Factory

  Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

  Language:Python31.9k2044.9k3.9k

• svc-develop-team/so-vits-svc

  SoftVC VITS Singing Voice Conversion

  Language:Python25.5k1771304.8k

• google/ExoPlayer

  This project is deprecated and stale. The latest ExoPlayer code is available in https://github.com/androidx/media

  Language:Java21.7k83810.1k6k

• Tencent/ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  Language:C++20.2k5733.5k4.1k

• THUDM/CogVideo

  text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

  Language:Python7.8k119293731

• houtianze/bypy

  Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

  Language:Python7.8k2975791.4k

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook7.7k89991k

• clappr/clappr

  :clapper: An extensible media player for the web.

  Language:JavaScript7.1k2351.5k847

• open-mmlab/mmagic

  OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

  Language:Jupyter Notebook6.9k977081.1k

• modelscope/DiffSynth-Studio

  Enjoy the magic of Diffusion models!

  Language:Python6.4k55147575

• THUDM/GLM-4

  GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型

  Language:Python4.8k30493393

• modelscope/ms-swift

  Use PEFT or Full-parameter to finetune 350+ LLMs or 90+ MLLMs. (LLM: Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, Gemma2, ...; MLLM: Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL, Phi3.5-Vision, ...)

  Language:Python3.7k201.1k314

• QwenLM/Qwen2-VL

  Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

  Language:Python2.5k25282138

• openmv/openmv

  OpenMV Camera Module

  Language:C2.4k1504851.1k

• elevenlabs/elevenlabs-python

  The official Python API for ElevenLabs Text to Speech.

  Language:Python2.1k38244243

• wechaty/python-wechaty

  Python Wechaty is a Conversational RPA SDK for Chatbot Makers written in Python

  Language:Python1.6k27279234

• androidx/media

  Jetpack Media3 support libraries for media use cases, including ExoPlayer, an extensible media player for Android

  Language:Java1.6k451.5k379

• ymcui/Chinese-LLaMA-Alpaca-3

  中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3

  Language:Python1.6k1977142

• InternLM/HuixiangDou

  HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

  Language:Python1.4k2335125

• ciiiii/cloudflare-docker-proxy

  A docker registry proxy run on cloudflare worker.

  Language:JavaScript1.2k3202.4k

• ckkelvinchan/RealBasicVSR

  Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"

  Language:Python9091387136

• city96/ComfyUI-GGUF

  GGUF Quantization support for native ComfyUI models

  Language:Python8131110651

• MuShibo/Micro-Wheeled_leg-Robot

  全球最小的桌面级双轮腿机器人！

  Language:C++634102114

• bigardone/phoenix-battleship

  The Good Old game, built with Elixir, Phoenix, React and Redux

  Language:Elixir52620752

• chenxinfeng4/ffmpegcv

  The ffmpegcv is a ffmpeg backbone for open-cv like Video Reader and Writer

  Language:Python16174424

• lexmag/tty2048

  Terminal-based 2048 game written in Elixir

  Language:Elixir15510020

• ghdtjr/A-LLMRec

  Language:Python54187

• leoleelxh/ComfyUI-LLMs

  An extremely simple call to the LLMs model node

  Language:Python18233

• Westworld-AI/VTube-Sama-App

  VTube-Sama-App 是一个超低上手成本的 AI Vtube项目，支持OpenAI、Ollama、智谱，可在Mac、Windows 安装使用。

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