XiaoLaoDi

XiaoLaoDi's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python174k1.6k3.2k45.5k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook105k7418.3k16.9k

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python40.7k3921.7k4.5k

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python40.6k4523225.2k

• LAION-AI/Open-Assistant

  OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

  Language:Python37.3k4351.6k3.3k

• chenfei-wu/TaskMatrix

  Language:Python34.5k3013563.3k

• tloen/alpaca-lora

  Instruct-tune LLaMA on consumer hardware

  Language:Jupyter Notebook18.9k1564712.2k

• BlinkDL/RWKV-LM

  RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

  Language:Python13.4k131236903

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.6k983561.6k

• PaddlePaddle/PaddleNLP

  Easy-to-use and powerful LLM and SLM library with awesome model zoo.

  Language:Python12.5k1023.7k3k

• ymcui/Chinese-BERT-wwm

  Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

  Language:Python9.9k1412421.4k

• espnet/espnet

  End-to-End Speech Processing Toolkit

  Language:Python8.9k1742.4k2.2k

• OptimalScale/LMFlow

  An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

  Language:Python8.4k69423832

• MVIG-SJTU/AlphaPose

  Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

  Language:Python8.2k2071.1k2k

• richzhang/PerceptualSimilarity

  LPIPS metric. pip install lpips

  Language:Python3.9k53109511

• zllrunning/face-parsing.PyTorch

  Using modified BiSeNet for face parsing in PyTorch

  Language:Python2.4k3456471

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.4k2375427

• antoinelame/GazeTracking

  👀 Eye Tracking library easily implementable to your projects

  Language:Python2.2k4374564

• 2881099/csredis

  .NET Core or .NET Framework 4.0+ client for Redis and Redis Sentinel (2.8) and Cluster. Includes both synchronous and asynchronous clients.

  Language:C#2k87490416

• JDAI-CV/FaceX-Zoo

  A PyTorch Toolbox for Face Recognition

  Language:Python1.9k39163435

• FACEGOOD/FACEGOOD-Audio2Face

  http://www.facegood.cc

  Language:Python1.9k3090362

• pixop/video-compare

  Split screen video comparison tool using FFmpeg and SDL2

  Language:C++1.2k128747

• mravanelli/SincNet

  SincNet is a neural architecture for efficiently processing raw audio samples.

  Language:Python1.2k33106264

• corenel/pytorch-adda

  A PyTorch implementation for Adversarial Discriminative Domain Adaptation

  Language:Python483727141

• dchen236/FairFace

  Language:Python48392695

• Tobias-Fischer/rt_gene

  RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments

  Language:Python393138671

• harritaylor/torchvggish

  Pytorch port of Google Research's VGGish model used for extracting audio features.

  Language:Python38482370

• hysts/pytorch_mpiigaze

  An unofficial PyTorch implementation of MPIIGaze and MPIIFaceGaze

  Language:Python36366688

• NVlabs/few_shot_gaze

  Pytorch implementation and demo of FAZE: Few-Shot Adaptive Gaze Estimation (ICCV 2019, oral)

  Language:Python335233174

• cvqluu/TDNN

  Time delay neural network (TDNN) implementation in Pytorch using unfold method

  Language:Python2016340