lzy-tony

lzy-tony'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:Python170k1.5k3.1k44.8k

• rust-lang/rustlings

  :crab: Small exercises to get you used to reading and writing Rust code!

  Language:Rust55.7k34169010.3k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.5k3136815.7k

• google/comprehensive-rust

  This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

  Language:Rust28.3k1443071.7k

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

  Language:Python27.1k2114.4k5.6k

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python21k1581.6k2.3k

• brendangregg/FlameGraph

  Stack trace visualizer

  Language:Perl17.6k4831502k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.8k815061k

• deep-floyd/IF

  Language:Python7.7k84101505

• timothybrooks/instruct-pix2pix

  Language:Python6.5k69129546

• showlab/Tune-A-Video

  [ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

  Language:Python4.3k5197388

• open-mmlab/mmtracking

  OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

  Language:Python3.6k49465598

• Luodian/Otter

  🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

  Language:Python3.6k100163242

• baaivision/Painter

  Painter & SegGPT Series: Vision Foundation Models from BAAI

  Language:Python2.5k3771176

• xiaobai1217/Awesome-Video-Datasets

  Video datasets

  1.3k291296

• Computer-Vision-in-the-Wild/CVinW_Readings

  A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

  1.2k38658

• snap-research/EfficientFormer

  EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

  Language:Python1k375892

• jia-zhuang/pytorch-multi-gpu-training

  整理 pytorch 单机多 GPU 训练方法与原理

  Language:Python7885883

• TencentARC/MasaCtrl

  [ICCV 2023] Consistent Image Synthesis and Editing

  Language:Python757205030

• naver-ai/DenseDiffusion

  Official Pytorch Implementation of DenseDiffusion (ICCV 2023)

  Language:Jupyter Notebook486112032

• vislearn/ControlNet-XS

  Language:Python457163312

• LeapLabTHU/FLatten-Transformer

  Official repository of FLatten Transformer (ICCV2023)

  Language:Python40943324

• SHI-Labs/NATTEN

  Neighborhood Attention Extension. Bringing attention to a neighborhood near you!

  Language:Cuda3921112231

• GitGyun/visual_token_matching

  [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

  Language:Python25371713

• LeapLabTHU/ARC

  [ICCV 2023] Adaptive Rotated Convolution for Rotated Object Detection

  Language:Python1173276

• weixr18/MLAN

  A Note for Machine Learning Algorithms

  85209

• MengLcool/AdaViT

  [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".

  Language:Python502118

• LeapLabTHU/LAUDNet

  [IEEE TPAMI] Latency-aware Unified Dynamic Networks for Efficient Image Recognition

  Language:Jupyter Notebook45312

• LeapLabTHU/Dynamic_Perceiver

  Official implementation of Dynamic Perceiver

  Language:Python42212

• YixuanEvenXu/perturbed-maximization

  Language:Python5100