Python sample codes for robotics algorithms.
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Updated
Jul 16, 2024 - Python
Python sample codes for robotics algorithms.
Google Chromium, sans integration with Google
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Tensorforce: a TensorFlow library for applied reinforcement learning
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Efficient Batched Reinforcement Learning in TensorFlow
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
A library for differentiable robotics.
Image Processing with Cellular Neural Networks in Python
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
pymgrid is a python library to generate and simulate a large number of microgrids.
Quadcopter Simulation and Control. Dynamics generated with PyDy.
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