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action-branching-agents

[AAAI 2018] TensorFlow implementation of Action Branching Architectures for Deep Reinforcement Learning.

ams

My BSc project, advanced monitoring system in MS VC++ 6.0

data_set_maniplulator

Set of scripts to manipulate dataset index files

deep-reinforcement-learning-in-large-discrete-action-spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

drl-1

Repository for codes of 'Deep Reinforcement Learning'

environment

Neural MMO - A Massively Multiagent Environment for Artificial Intelligence Research

feira

a lightweight marketplace powered by machine learning

hands-on-reinforcement-learning-with-python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hpc

Hessian Polar Context for Microfilarea Classification

kaggle_tps_09

mls

My go through deep reinforcement learning in pytorch

multi-agent-deep-rl

Deep Reinforcement Learning now with more agents! \o/

multi-seed-stacking

network_folw_optimization

Building routing trees toward single or multiple gateways.

p-trap

Panicle graph analysis

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

seq2seq_with_deep_attention

Sequence to sequence (seq2seq) using RNN with attention mechanism in pytorch

sheba

A JAVA IMAGE PROCESSING PACKAGE

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

vizdoom-keras-rl

Reinforcement Learning in Keras on VizDoom