hungtooc

hungtooc's Stars

• wcandillon/react-native-webgpu

  React Native implementation of WebGPU using Dawn

  Language:TypeScript46222

• exzos28/react-native-audio-analyzer

  Language:C++323

• enzomanuelmangano/animate-with-reanimated

  Animate with Reanimated is a youtube series where I try to build from scratch simple and instructive animations.

  Language:TypeScript574126

• LottieFiles/lottie-react

  lottie web player as a react component

  Language:TypeScript73380

• haofanwang/inswapper

  One-click Face Swapper and Restoration powered by insightface 🔥

  Language:Python55086

• docker/awesome-compose

  Awesome Docker Compose samples

  Language:HTML36.3k6.8k

• jimmckeeth/SkiaSimpleShaderViewer

  A simple Skia Shader Language (SkSL) viewer written in Delphi with Skia4Delphi.

  Language:Pascal5715

• IDEA-Research/OpenSeeD

  [ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"

  Language:Python67543

• 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 Notebook48.3k5.7k

• open-telemetry/opentelemetry-python

  OpenTelemetry Python API and SDK

  Language:Python1.8k652

• blueswen/fastapi-observability

  Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry and OpenMetrics.

  Language:Python692105

• CSAILVision/semantic-segmentation-pytorch

  Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

  Language:Python5k1.1k

• IDEA-Research/MaskDINO

  [CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

  Language:Python1.2k111

• danbooru/autotagger

  Danbooru automatic image classifier

  Language:Python1187

• cloneofsimo/lora

  Using Low-rank adaptation to quickly fine-tune diffusion models.

  Language:Jupyter Notebook7.1k486

• isl-org/MiDaS

  Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

  Language:Python4.6k640

• camenduru/controlnet-colab

  Language:Jupyter Notebook52663

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python31.1k2.8k

• SamsungLabs/image_harmonization

  [WACV2021] Foreground-aware Semantic Representations for Image Harmonization https://arxiv.org/abs/2006.00809

  Language:Python26841

• SamsungLabs/fbrs_interactive_segmentation

  [CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

  Language:Jupyter Notebook58393

• facebookresearch/CutLER

  Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

  Language:Python96295

• geomagical/lama-with-refiner

  🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

  Language:Jupyter Notebook1339

• lwfinger/rtw8852be

  Linux driver for RTW8852BE PCIe card

  Language:C11817

• reduxjs/redux

  A JS library for predictable global state management

  Language:TypeScript61k15.3k

• wcandillon/can-it-be-done-in-react-native

  ⚛️ 📺 Projects from the “Can it be done in React Native?” YouTube series

  Language:TypeScript4.1k1.3k

• google/diff-match-patch

  Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.

  Language:Python7.6k1.1k

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook8.4k855

• rinongal/StyleGAN-nada

  Language:Python1.2k147

• yoyo-nb/Thin-Plate-Spline-Motion-Model

  [CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

  Language:Jupyter Notebook3.5k556

• eloialonso/iris

  Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

  Language:Python81482