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This repository provides a collection of PyTorch tutorials, examples, and related books for developers interested in deep learning and AI.
Algorithmic trading experiments using deep learning techniques, primarily focused on the OpenEdge ABL language.
Woodpecker is a high-risk vulnerability detection and deep exploitation framework for vibe coders.
A collaboration workspace for Machine Learning, supporting popular ML frameworks and enabling reproducible workflows.
Open-source foundational library for training deep learning models with PyTorch.
A Python toolkit for building and fine-tuning deep learning models, including NLP and question answering.
AMD-SHARK Studio is a web UI for the SHARK+IREE high-performance machine learning distribution.
An open-source tool for quickly annotating and labeling images for computer vision and deep learning projects.
A deep learning library for Haskell, enabling developers to build advanced AI models and applications.
A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.
A comprehensive collection of resources for learning machine learning in Russian.
A curated collection of resources for deep learning and AI-related projects and tools.
A Python/Pytorch app for easily synthesising human voices
A curated list of best AI resources for developers, including tutorials, libraries, and tools.
Concise PyTorch implementations of popular deep reinforcement learning algorithms like REINFORCE, A2C, DQN, PPO, DDPG, TD3, and SAC.
Example Android app demonstrating how to use TensorFlow for machine learning on Android devices.
A JavaScript library for building reinforcement learning agents, covering various RL algorithms.
A collection of exercises and workshops for using TensorFlow, a popular deep learning framework.
A curated list of Machine Learning, AI, and NLP solutions for iOS development.
A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.
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