Showing 261-280 of 1,591 projects
A high-performance linear algebra library for GPU-accelerated deep learning and other applications.
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.
A Python library for user-friendly forecasting and anomaly detection on time series 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.
Machine learning and deep learning models for stock forecasting, including trading bots and simulations.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
A Jupyter Notebook resource for understanding the fundamentals of deep learning.
Versatile database for AI, supporting storage, querying, versioning, and visualization of any AI data.
A comprehensive guide for developers to quickly learn and leverage AI technologies, including tools, frameworks, and resources.
A deep universal probabilistic programming library for Python and PyTorch, enabling Bayesian machine learning.
A deep reinforcement learning tool that instrumentizes bettercap for WiFi pwning and handshake collection.
Curated list of Machine Learning, NLP, Vision, and Recommender Systems project ideas for developers.
A PHP library for creating deep copies (clones) of your objects.
An interactive visualization tool for learning Convolutional Neural Networks (CNNs) and deep learning.
A collection of machine learning examples and tutorials for data scientists and ML engineers.
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