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Resize and move windows like in KDE on Windows with Win+Mouse!
Python scripts for the Segment Anythin 2 (SAM2) model in ONNX
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Share and collaborate by syncing with any Git repository instantly. Linux, macOS, and Windows.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
***This is just a mirror of https://sf.net/projects/nsis -- please report issues there*** NSIS (Nullsoft Scriptable Install System) is a professional open source system to create Windows installers…
A list of frameworks, libraries and software for the Java Swing GUI toolkit.
🤖 Real-time type-ahead completion for Zsh. Asynchronous find-as-you-type autocompletion.
A complete deep learning platform written almost entirely in C# for Windows developers! Now you can write your own layers in C#!
A collection of ergonomic split keyboards ⌨
Fault tolerance and resilience patterns for the JVM
This library packages the well-known charting library plotly.js into a razor component that can be used in a Blazor project.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Open standard for machine learning interoperability
cross platform C++ library for hardware information (CPU, RAM, GPU, ...)
Jwt.Net, a JWT (JSON Web Token) implementation for .NET
Robust Speech Recognition via Large-Scale Weak Supervision
The missing Java distribution of native C++ libraries
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
Python module for hyperspectral image processing
A simple library providing functionality to generate a 'device ID' that can be used to uniquely identify a computer.
Making the quickest and most memory efficient implementation of Levenshtein Distance with SIMD and Threading support
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
A PyTorch implementation of the Deep SVDD anomaly detection method