ruilin19

ruilin19's Stars

• hzwer/WritingAIPaper

  Writing AI Conference Papers: A Handbook for Beginners

  2747

• vchoutas/smplx

  SMPL-X

  Language:Python1.8k303

• jingyaogong/minimind-vl

  从头训练一个小参数量的视觉多模态VLM，预计2024年内开源

  14

• jingyaogong/minimind

  【大模型】3小时完全从0训练一个仅有26M的小参数GPT，最低仅需2G显卡即可推理训练！

  Language:Python1.2k136

• stas00/ml-engineering

  Machine Learning Engineering Open Book

  Language:Python11k652

• adapter-hub/adapters

  A Unified Library for Parameter-Efficient and Modular Transfer Learning

  Language:Jupyter Notebook2.5k338

• pengsida/learning_research

  本人的科研经验

  5.5k334

• gpt-omni/mini-omni

  open-source multimodal large language model that can hear, talk while thinking. Featuring real-time end-to-end speech input and streaming audio output conversational capabilities.

  Language:Python2.3k232

• TUDB-Labs/MixLoRA

  State-of-the-art Parameter-Efficient MoE Fine-tuning Method

  Language:Python568

• heyman/heynote

  A dedicated scratchpad for developers

  Language:JavaScript3.9k194

• facebookresearch/sapiens

  High-resolution models for human tasks.

  Language:Python3.8k189

• character-ai/prompt-poet

  Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.

  Language:Python81065

• microsoft/generative-ai-for-beginners

  18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook61.8k31.4k

• facebookresearch/MetaCLIP

  ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

  Language:Python1.2k49

• nikhilbarhate99/PPO-PyTorch

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

  Language:Python1.6k341

• ifromeast/cuda_learning

  learning how CUDA works

  Language:Cuda14818

• CisMine/Parallel-Computing-Cuda-C

  CUDA Learning guide

  Language:Cuda20120

• H-Freax/Awesome-Video-Robotic-Papers

  This repository compiles a list of papers related to the application of video technology in the field of robotics! Star⭐ the repo and follow me if you like what you see🤩.

  1136

• poloclub/transformer-explainer

  Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

  Language:JavaScript2.6k219

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  324k27.6k

• AnswerDotAI/gpu.cpp

  A lightweight library for portable low-level GPU computation using WebGPU.

  Language:C++3.6k171

• EvolvingLMMs-Lab/LongVA

  Long Context Transfer from Language to Vision

  Language:Python29316

• lobehub/lobe-chat

  🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Azure / DeepSeek), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Vision/TTS) and plugin system. One-click FREE deployment of your private ChatGPT/ Claude application.

  Language:TypeScript40.6k9.2k

• QwenLM/Qwen2

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

  Language:Shell7.4k454

• MooreThreads/Moore-AnimateAnyone

  Character Animation (AnimateAnyone, Face Reenactment)

  Language:Python3.1k238

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python21.6k2k

• LaBaZh/Awesome-Opus-Long-Video-Understanding

  Awesome research works specifically focused on long form videos understanding.

  9

• ttengwang/Awesome_Long_Form_Video_Understanding

  Awesome papers & datasets specifically focused on long-term videos.

  1544

• microsoft/graphrag

  A modular graph-based Retrieval-Augmented Generation (RAG) system

  Language:Python17.1k1.6k

• DmitryRyumin/ICASSP-2023-24-Papers

  ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

  Language:Python35316