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A universal summary of current robotics simulators
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
A generative world for general-purpose robotics & embodied AI learning.
Codes for stochastic multimodal trajectory optimization (SMTO)
FlatBuffers: Memory Efficient Serialization Library
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
🔥Highlighting the top ML papers every week.
An implementation of Gaussian Variational Inference (GVI) that uses a natural gradient descent paradigm.
NumPy aware dynamic Python compiler using LLVM
The interactive graphing library for Python ✨
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
[NeurIPS'2023]3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
[NeurIPS'2023] Official Code Repo:Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Awesome Quadrupedal Robots
A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
Centralized administration of dependency installation guides.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
《Software Engineering at Google》的中英文对译版本
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…