Stars
An open-source cross-platform alternative to AirDrop
KMP (pure Kotlin) implementation of SocketIO client.
High performance self-hosted photo and video management solution.
LibrosaCpp is a c++ implemention of librosa to compute short-time fourier transform coefficients,mel spectrogram or mfcc
C++ library for audio and music analysis, description and synthesis, including Python bindings
Awesome Flutter extensions to remove boilerplate
Developer-first error tracking and performance monitoring
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
A collection of fun Flutter experiments, created by gskinner, in partnership with Google.
A Flutter widget for creating fully custom, animated scrollable lists. It manages all of the tricky logic surrounding scroll interactions and physics, and leaves the visual presentation of items up…
A fresh and modern Google Contacts manager that integrates with GitHub and Twitter.
A showcase app for the Flutter SDK. Wonderous will educate and entertain as you uncover information about some of the most famous structures in the world.
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
isar-community / isar
Forked from isar/isarExtremely fast, easy to use, and fully async NoSQL database for Flutter
Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading open source Notion alternative.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Open-Sora: Democratizing Efficient Video Production for All
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
Fine Grained Image Classifications of Bird with 200 classes
Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.
TripoSR: Fast 3D Object Reconstruction from a Single Image
A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.