ur_openai_gym
pyneat
ur_openai_gym | pyneat | |
---|---|---|
1 | 1 | |
15 | 2 | |
- | - | |
2.5 | 1.8 | |
4 months ago | almost 3 years ago | |
Python | Python | |
MIT License | - |
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ur_openai_gym
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How to run Machine Learning (PyTorch, Tensorflow) with ROS Melodic/Python 2.7?
I've been able to work with tensorflow 2 and Ros melodic here https://github.com/cambel/ur_openai_gym I use dockers because it makes it easy to use. Compiling your custom packages with python3 and the rest mostly works fine. I had troubles with tf but I found a work around it. Though working with docket and Ros noetic would be a better idea.
pyneat
What are some alternatives?
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
ur3 - ROS-based UR3/UR3e controller with simulation in Gazebo. Adaptable to other UR robots
pureples - Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
super-mario-neat - This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
Dino-Game-AI - A simple pygame dino game which can also be trained and played by a NEAT AI
champ - MIT Cheetah I Implementation
GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
spot_mini_mini - Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
neat-python - Python implementation of the NEAT neuroevolution algorithm