Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
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Updated
Oct 26, 2019 - 4 commits
- Python
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
TensorFlow Tutorials with YouTube Videos
Python Implementation of Reinforcement Learning: An Introduction
Machine learning, in numpy
Unity Machine Learning Agents Toolkit
In order to make use of the natvis type definitions, they need to be part of the generated visual studio project. They should be added only when the generator is visual studio.
See here for an example: https://github.com/microsoft/GSL/blob/master/CMakeLists.txt
StarCraft II Learning Environment
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep Learning and Reinforcement Learning Library for Scientists
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Simple Reinforcement learning tutorials
A JavaScript deep learning and reinforcement learning library.
Deep Reinforcement Learning for Keras.
A collection of machine learning examples and tutorials.
Build your neural network easy and fast
A course in reinforcement learning in the wild
:satellite: Organized Resources for Deep Learning Researchers and Developers
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
repository to research & share the machine learning articles
Simple and comprehensive tutorials in TensorFlow
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Repo for the Deep Reinforcement Learning Nanodegree program
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?
Tensorforce: a TensorFlow library for applied reinforcement learning
Minimal and Clean Reinforcement Learning Examples
System information
Describe the problem
After having successfully trained and restore an agent, one very common use case might be to make deterministic action given a state. After training, or wh