Reinforcement Learning
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A collection of 60+ annotated PyTorch implementations of deep learning papers with side-by-side explanatory notes.
A web UI and optimization library for running and fine-tuning open-source AI models locally with 2x faster training and 70% less VRAM.
A curated reading roadmap of foundational and state-of-the-art deep learning papers for newcomers and researchers.
A Python toolkit for developing and comparing reinforcement learning algorithms through a standard API and environment set.
Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility and transparency.
A curated collection of papers and articles from companies sharing real-world data science and machine learning applications in production.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
A research project exploring machine learning for generating music, images, and art using deep learning and reinforcement learning.
An open-source framework for financial large language models, enabling cost-effective fine-tuning for tasks like sentiment analysis and forecasting.
A comprehensive library for post-training foundation models using reinforcement learning and fine-tuning techniques.
Open-source simulator for drones and autonomous vehicles built on Unreal Engine and Unity, designed for AI research.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
A comprehensive collection of machine learning algorithms implemented exclusively in NumPy for educational purposes and prototyping.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and scientific domains.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and machine learning.
An open-source framework for applying deep reinforcement learning to quantitative finance, featuring a train-test-trade pipeline for stock and crypto trading.
A real-time collision detection and multi-physics simulation SDK for VR, games, robotics, and machine learning.
A curated collection of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
A curated list of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
A reliable PyTorch implementation of reinforcement learning algorithms for research and industry.
A standard Python API for single-agent reinforcement learning environments with a collection of reference environments and utilities.
A research framework for fast prototyping of reinforcement learning algorithms, designed for easy experimentation and reproducibility.
An elegant PyTorch-based deep reinforcement learning library with modular APIs for both research and application development.
A curated list of resources dedicated to reinforcement learning, including theory, applications, code, tutorials, and platforms.
A curated list of reinforcement learning resources including theory, applications, code libraries, tutorials, and platforms.
A deep reinforcement learning library offering high-quality, single-file implementations of algorithms like PPO, DQN, and SAC for research and education.
A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.
A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.
An AI-powered WiFi security auditing tool that uses deep reinforcement learning to optimize capture of WPA handshakes.
A fast online machine learning system with advanced techniques like hashing, reductions, and contextual bandits.
A curated list of practical financial machine learning tools, applications, and research repositories.
An end-to-end deep learning library focused on clear code and speed, used for research and production by Google Brain.
An end-to-end deep learning library focused on clear code, speed, and research, built by Google Brain.
A reinforcement learning framework for training AI agents to play Pokémon Red using PyBoy emulation.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
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