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A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and model
Source for the TechEmpower Framework Benchmarks project
rust actix clean architecture project
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…
A cheatsheet of modern C++ language and library features.
《Go语言四十二章经》详细讲述Go语言规范与语法细节及开发中常见的误区，通过研读标准库等经典代码设计模式，启发读者深刻理解Go语言的核心思维，进入Go语言开发的更高阶段。
A list of best books which are needed to be a specialist in golang
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
A bunch of links to blog posts, articles, videos, etc for learning Rust
Rust 学习之路 > Rust Programming Tutorial, include articles, interview, example, problems.
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
Common used path planning algorithms with animations.
D* Lite algorithm for partially known environments.
Basic algorithms for height map based 3D path planning: BFS, Dijkstra, A*, Theta*