Showing 61-80 of 201 projects
PyTorch implementation of popular reinforcement learning algorithms like A2C, PPO, ACKTR and GAIL for developers.
A modern Anki addon that implements the Free Spaced Repetition Scheduler algorithm for intelligent tutoring systems.
Polyaxon is an MLOps platform for managing and orchestrating the machine learning lifecycle.
A minimalist and clean set of reinforcement learning examples in Python for developers to learn and experiment with.
Handwritten notes for Andrew Ng's Coursera Machine Learning course, a popular resource for learning AI/ML.
Comprehensive reinforcement learning framework for building AI agents and distributed systems
An implementation of the AlphaZero algorithm for the classic board game Gomoku (Five in a Row)
A comprehensive collection of deep learning resources including courses, case studies, and interview questions.
A reinforcement learning environment for developing AI agents that can play the Google Research Football game.
A collection of classic papers and resources on recommendation systems and machine learning
A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.
The next generation deep reinforcement learning toolkit for AI researchers and developers.
A high-performance distributed training framework for Reinforcement Learning in Python
An open machine learning course that covers a wide range of topics including computer vision, natural language processing, and reinforcement learning.
An open-source platform for game research and reinforcement learning experimentation.
A Python library that provides reinforcement learning algorithms and environments for various card games
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
Implement reasoning LLM in PyTorch from scratch
Organized resources for deep learning researchers and developers, including tutorials, frameworks, and libraries.
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