Comprehensive course covering modern AI foundation models, including architectures, training techniques, and applications.

A collection of deep reinforcement learning algorithm implementations, including DQN, A3C, PPO, and more, for research and experimentation on classic control tasks.

The repository is a concise guide to essential tricks for optimizing model performance in numerous ways.

Learn PyTorch basics: tensors, autograd, neural networks, and more with practical examples and tutorials. Beginner-friendly.

Enhance the clarity and fidelity of audio signals with advanced superresolution techniques. Elevate sound quality and detail for a richer listening experience.

This repository focuses on algorithms, models, and techniques for isolating and extracting individual sources from mixed audio signals using advanced machine learning methods.

This repository is a comprehensive guide and toolkit for music generation, featuring diverse algorithms, deep learning models, and creative techniques to inspire and assist in the composition of unique musical pieces.

Examples showcasing practical deep learning with PyTorch.

Hub for powerful, pre-trained language models—fine-tune for diverse NLP tasks, generating human-like text across applications.