Showing 1741-1760 of 1,983 projects
Ink/Stitch is an Inkscape extension for designing and creating machine embroidery patterns.
Sockeye is a PyTorch-based sequence-to-sequence framework for neural machine translation tasks.
Train, evaluate, optimize, and deploy computer vision models with OpenVINO, a toolkit for accelerating deep learning on edge devices.
SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.
A plugin that integrates TensorFlow machine learning capabilities into the Unreal game engine.
Provides macOS ISOs with torrent download links and MD5 hashes for virtualization and setup.
Adaptive is a parallel active learning library for efficiently learning mathematical functions.
A Python library implementing various self-attention mechanisms for computer vision tasks.
A simple and well-styled implementation of the PPO reinforcement learning algorithm, with a tutorial series
A Ruby-based tool for managing and keeping your dotfiles fresh across multiple machines.
Fast citation reference parsing library for Ruby, useful for bibliographic and citation management applications.
A comprehensive Python and C++ data mining library for algorithms, clustering, neural networks, and more.
A virtual machine for CTF competitions, with multiple versions and systems to choose from for an out-of-the-box experience.
A multimodal framework for drug discovery and therapeutic science research.
A high-performance Aho-Corasick implementation in Rust for fast substring matching and text processing.
A GitHub Action for installing, configuring and running hardware-accelerated Android Emulators on macOS virtual machines.
End-to-end neural table-text understanding models for question answering and table parsing.
Real-time object detection library with support for 9000+ classes, suitable for AI/ML developers.
A macOS utility that allows developers to rename desktop spaces on their machines.
A scalable Python library for data science and machine learning tasks with API compatibility and lightning-fast performance.
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