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Examples and guides for using the OpenAI API
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Bayesian optimization in PyTorch
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…
Massively parallel rigidbody physics simulation on accelerator hardware.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Implementing a Neural Network from Scratch
Handout for the tutorial "Creating publication-quality figures with matplotlib"
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
Learning Lyapunov functions and control policies of nonlinear dynamical systems
Memmo 2020 Summer School
TuulAI RobotBuilder: Robotics Course to go from Zero to Hero in AI driven Robots
Automated Robust Co-design for Cyberphysical Systems
Implementation of two legged robots controller. One bipedal (ATLAS) using the inverted pendulum model as well as a quadruped robot. For the quadruped robot multiple controller are implemented, from…
Machine Learning workshops developed by Christopher Blanton, Ph.D. for Georgia Institute of Technology Partnership for an Advanced Computing Enviornment