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ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

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purge-wrangler

AMD & NVIDIA eGPUs for all Thunderbolt Macs.

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DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

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macOS-eGPU

Make your Mac compatible with NVIDIA and AMD eGPUs. (macOS High Sierra)

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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ov5640

Improved OV5640 for Orange Pi (H3) / Nano Pi (H3) / Banana Pi M64 / Pine64+ / Nano Pi M2/M3 (Experimental)

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handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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ROBOTIS-OP3

ROS packages for the ROBOTIS OP3

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DynamixelSDK

ROBOTIS Dynamixel SDK (Protocol1.0/2.0)

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oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

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osim-rl

Reinforcement learning environments with musculoskeletal models

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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alpha-bluetooth

UBTECH alpha robot comunication software (www.ubtrobot.com/)

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