Showing 61-80 of 2,005 projects
A Vulkan-based implementation of DirectX 8, 9, 10, and 11 for Linux and Wine, enabling better gaming performance.
High-quality implementations of reinforcement learning algorithms for AI and machine learning research.
A comprehensive list of PyTorch-related content on GitHub, including models, libraries, and tutorials.
A comprehensive machine learning library in Python with implementations of various algorithms and models.
An Android app providing design news, inspiration, and an example of implementing Material Design.
A feature-rich WYSIWYG editor library for building rich text experiences in the browser.
Pure Go implementation of the WebRTC API for building real-time video, audio, and data applications.
A XAML and WPF library for implementing Google's Material Design UI in C# and VB.NET applications.
An official implementation of the Swin Transformer, a hierarchical vision transformer for image classification and segmentation.
A Python library for implementing a Manus-style persistent markdown planning workflow for AI-powered developers.
A library that provides implementations of classic design patterns in Swift 5.0 for developers.
An open-source re-implementation of the classic RollerCoaster Tycoon 2 game, built with C++.
An implementation of the LLaMA model, built one matrix multiplication at a time using Jupyter Notebooks.
This GitHub repository contains implementations and illustrative code to accompany DeepMind's AI research publications.
Python implementation of the reinforcement learning concepts from the classic textbook.
StyleGAN is an official TensorFlow implementation of a generative adversarial network (GAN) for creating photorealistic images.
An open-source .NET web application framework for building enterprise software with best practices and modular architecture.
An implementation of the YOLOv7 state-of-the-art real-time object detection model.
A comprehensive Chinese tutorial on reinforcement learning, with implementations of popular RL algorithms.
Open source implementation of CLIP, a contrastive learning model for multi-modal tasks like zero-shot classification.
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