Showing 201-220 of 1,001 projects
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.
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.
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.
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.
ModelScope is an open-source AI framework that brings the notion of Model-as-a-Service to life, providing a comprehensive suite of tools for building, deploying, and managing AI models.
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
A comprehensive collection of study materials for deep learning interviews, covering various topics like machine learning, computer vision, and NLP.
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