Showing 1061-1080 of 1,983 projects
PyTorch implementation of Contrastive Learning methods for AI and machine learning research.
Deep learning library for Apache Spark that provides high-level APIs and models for building machine learning pipelines.
Elyra extends JupyterLab with an AI-centric approach for developing and deploying ML/AI pipelines.
A textbook on parallel computing and scientific machine learning methods and applications
A collection of research papers and software related to explainability in graph machine learning.
A Python library for building recommender systems using popular deep learning techniques like DeepFM, NCF, and more.
Umka is a statically typed, embeddable scripting language written in C, suitable for building cross-platform applications.
A curated list of papers related to neural networks and machine learning, useful for AI and ML developers.
Easy Machine Learning is a dataflow-based system for simplifying the application of machine learning algorithms.
A PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models.
A Docker-based remote download service for the Xunlei download platform, for use on other Linux machines.
A comprehensive collection of LaTeX code examples for drawing Bayesian networks, graphical models, and technical illustrations.
A reinforcement learning agent trained in a diffusion world model for AI research and development.
Official Azure Machine Learning examples, tested with GitHub Actions, for data science and ML projects.
A high-performance C++ library for upscaling anime videos using AI-powered super-resolution techniques.
A lightweight 3D Morphable Face Model library in modern C++ for computer vision and image processing.
Classiq Library is the largest open-source collection of quantum algorithms and applications for exploring quantum computing.
This project is a tutorial to help developers write their own virtual machine for the LC-3 computer.
A library of machine learning methods for chemistry research, built by Facebook's AI research team.
A photorealistic synthetic dataset for holistic indoor scene understanding using machine learning.
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