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A curated list of primary sources on applying deep learning on point cloud data.
A list of papers and datasets about point cloud analysis (processing)
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
Oakenmount / lb-foraging
Forked from semitable/lb-foragingLevel-based Foraging (LBF): A multi-agent environment for RL
Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]
Benchmarks for Multi-Objective Multi-Agent Decision Making
Dev environments for numerous languages based on Nix flakes [maintainer=@lucperkins]
An open source flight dynamics & control software library
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A system for automatically configuring mutt and isync with a simple interface and safe passwords
Machine Learning Engineering Open Book
😎 A curated list of awesome MLOps tools
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
[NeurIPS 2022] Open source code for reusing prior computational work in RL.
Unofficial implementation of RealFill
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A curated list of awesome console services (reachable via HTTP, HTTPS and other network protocols)
A list of cool features of Git and GitHub.