MadryLab/mnist_challenge
quality grade D, 45 out of 100A challenge to explore adversarial robustness of neural networks on MNIST.
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Robot learning, manipulation, autonomous driving, simulation and embodied agents.
Signals: robotics, ros, ros2, embodied-ai, autonomous-driving, self-driving-car, manipulation, drone
950 results
A challenge to explore adversarial robustness of neural networks on MNIST.
OpenCV Python Neural Network Autonomous RC Car
A Survey on Reinforcement Learning of Vision-Language-Action Models for Robotic Manipulation
Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo
An N-body WebAssembly simulation using Web GPU
C++ SPH/N-body library and standalone GUI application, mainly designed for astrophysical simulations
Logging & replay framework for FRC
Easily run old versions of UNIX for PDP-11 on modern hardware
MeshTaichi: A Compiler for Efficient Mesh-based Operations (SIGGRAPH Asia 2022)
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
A simulation framework for Robotic Mobile Fulfillment Systems
From-scratch implementation of physically simulated character animation with proportional-integral-derivative controllers (PID)
skies-adsb transforms your browser into a real-time 3D air traffic display. Using unfiltered ADS-B data from an RTL-SDR receiver, explore your local air traffic, surrounding airspace, and geography with custom 3D maps you can tailor to your needs.
A spaceship game
[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
An Entity-Component-System framework for Elixir
Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.
An interactive environment where protozoa-like entities live, die, and have offspring whose behaviours and morphologies can change.
WebGL simulation of a Schwarzschild black hole
A virtual world where Autonomous Systems from different Formula Student teams can compete in time-trial challenges
MuJoCo Models for Google's Scanned Objects Dataset
⚡ An interactive electronic circuit simulator
Learn how to train a quadruped robot to walk using reinforcement learning, from defining actions and observations to designing rewards and transitioning from simulation to reality.
An agent-based simulation of corona and other viruses in python
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