eriklindernoren / ML-From-Scratch

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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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Updated Oct 8, 2020
Python

microsoft / AirSim

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Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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Updated Oct 9, 2020
C++

Unity-Technologies / ml-agents

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Unity Machine Learning Agents Toolkit

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Updated Oct 16, 2020
C#

kmario23 / deep-learning-drizzle

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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization deep-reinforcement-learning artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition

Updated Oct 2, 2020

lexfridman / mit-deep-learning

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Tutorials, assignments, and competitions for MIT Deep Learning related courses.

data-science machine-learning mit deep-learning tensorflow deep-reinforcement-learning artificial-intelligence neural-networks segmentation tensorflow-tutorials deeplearning jupyter-notebooks self-driving-cars deep-rl

Updated Oct 3, 2020
Jupyter Notebook

yenchenlin / DeepLearningFlappyBird

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Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

game deep-learning deep-reinforcement-learning

Updated Aug 13, 2020
Python

google / trax

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Trax — Deep Learning with Clear Code and Speed

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Updated Oct 16, 2020
Python

carla-simulator / carla

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Open-source simulator for autonomous driving research.

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Updated Oct 16, 2020
C++

yandexdataschool / Practical_RL

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A course in reinforcement learning in the wild

lasagne theano reinforcement-learning deep-learning course-materials mooc tensorflow keras deep-reinforcement-learning pytorch hacktoberfest git-course pytorch-tutorials

Updated Oct 15, 2020
Jupyter Notebook

evilsocket / pwnagotchi

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(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

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Updated Oct 10, 2020
JavaScript

udacity / deep-reinforcement-learning

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Repo for the Deep Reinforcement Learning Nanodegree program

reinforcement-learning deep-reinforcement-learning openai-gym pytorch dqn neural-networks reinforcement-learning-algorithms dynamic-programming hill-climbing ddpg cross-entropy openai-gym-solutions pytorch-rl ppo ml-agents rl-algorithms

Updated Aug 22, 2020
Jupyter Notebook

andri27-ts / Reinforcement-Learning

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Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

machine-learning reinforcement-learning qlearning deep-learning deep-reinforcement-learning artificial-intelligence dqn deepmind evolution-strategies ppo a2c policy-gradients

Updated Jun 30, 2020
Jupyter Notebook

tensorforce / tensorforce

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Tensorforce: a TensorFlow library for applied reinforcement learning

control reinforcement-learning tensorflow deep-reinforcement-learning tensorflow-library system-control tensorforce

Updated Oct 4, 2020
Python

aamini / introtodeeplearning

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Lab Materials for MIT 6.S191: Introduction to Deep Learning

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Updated Sep 29, 2020
Jupyter Notebook

simoninithomas / Deep_reinforcement_learning_Course

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Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

qlearning deep-learning unity tensorflow deep-reinforcement-learning pytorch tensorflow-tutorials deep-q-network actor-critic deep-q-learning ppo a2c

Updated Oct 9, 2020
Jupyter Notebook

rlcode / reinforcement-learning

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Minimal and Clean Reinforcement Learning Examples

machine-learning reinforcement-learning deep-learning deep-reinforcement-learning dqn policy-gradient a3c deep-q-network actor-critic

Updated Sep 25, 2020
Python

aleju / papers

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Summaries of machine learning papers

nlp machine-learning computer-vision deep-learning paper deep-reinforcement-learning gan summary

Updated Oct 1, 2018

ShangtongZhang / DeepRL

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Modularized Implementation of Deep RL Algorithms in PyTorch

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Updated Oct 5, 2020
Python

ikostrikov / pytorch-a2c-ppo-acktr-gail

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PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).