Showing 581-600 of 4,064 projects
A high-performance linear algebra library for GPU-accelerated deep learning and other applications.
This is an Android learning repository focused on custom views, notes, and other Android development topics.
An open-source machine learning framework for .NET that enables developers to build AI-powered applications.
A curated collection of 300+ case studies from 80+ companies, detailing practical ML system design insights.
A beautiful open-source RSS and podcast app built with React, Express, and the GetStream.io platform.
AutoKeras is an open-source AutoML library for deep learning that automates the model selection and hyperparameter tuning process.
A fork of the so-vits-svc project with realtime support, improved interface, and more features for AI-powered voice conversion.
Comprehensive set of TensorFlow tutorials with accompanying YouTube videos for learning deep learning and machine learning.
A set of containers for running machine learning models and applications on various ML frameworks.
A robust and highly performant video matting library for PyTorch, TensorFlow, TensorFlow.js, ONNX, and CoreML.
xv6 OS is a research operating system for teaching and learning about operating system design and implementation.
A Python library for user-friendly forecasting and anomaly detection on time series data.
A free and open-source Laravel-based Product Information Management (PIM) system to help businesses manage product data.
Keras implementations of Generative Adversarial Networks (GANs) for deep learning and AI applications.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
Machine learning and deep learning models for stock forecasting, including trading bots and simulations.
A comprehensive collection of resources for anomaly detection, including books, papers, videos, and toolboxes.
A self-paced course to learn Rust programming language through 100 hands-on exercises.
Path planning algorithms with animations for AI development
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