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Modularized implementation of deep reinforcement learning algorithms in PyTorch for researchers and developers.
A library of semantic segmentation architectures implemented in PyTorch for computer vision applications.
A Python library that provides reinforcement learning algorithms and environments for various card games
Create Anime Characters with AI-powered tools
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
A PyTorch-based package of deep learning-based CTR models for easy-to-use, modular, and extendible development.
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
This is a repository containing Jupyter Notebooks focused on deep learning and AI/ML topics.
A C++ library for detecting custom wake words using a deep neural network, useful for AI voice assistants.
A Rust framework for blazingly fast inference of ML models using zero-knowledge proofs.
A comprehensive library for hand pose estimation and tracking, useful for human-computer interaction projects.
A comprehensive resource for industrial image anomaly/defect detection papers and datasets.
A Chinese-language book that provides a deep dive into the architecture and implementation of large language models like GPT.
A Python-based service that allows developers to use large language models (LLMs) as a chatbot backend.
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
Implement reasoning LLM in PyTorch from scratch
A comprehensive library for audio and music analysis, feature extraction, and deep learning applications.
A high-performance library for efficient neural network pruning and compression across LLMs, vision models, and more.
Efficient vision foundation models for high-resolution generation and perception.
A convertor/conversion tool for deep learning models across various deep learning frameworks/software.
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