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eriklindernoren / ML-From-Scratch

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.

data-science machine-learning data-mining deep-learning genetic-algorithm deep-reinforcement-learning machine-learning-from-scratch

Updated Apr 26, 2022
Python

microsoft / AirSim

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

simulator research ai computer-vision cross-platform deep-reinforcement-learning artificial-intelligence pixhawk self-driving-car unreal-engine drones deeplearning control-systems platform-independent autonomous-quadcoptor autonomous-vehicles airsim

Updated Jun 1, 2022
C++

Unity-Technologies / ml-agents

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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.

machine-learning reinforcement-learning deep-learning unity unity3d deep-reinforcement-learning neural-networks

Updated May 20, 2022
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 probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks

Updated Apr 10, 2022
HTML

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 May 17, 2021
Jupyter Notebook

carla-simulator / carla

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Open-source simulator for autonomous driving research.

simulator research ai computer-vision deep-learning cross-platform deep-reinforcement-learning artificial-intelligence ros self-driving-car ue4 autonomous-driving autonomous-vehicles imitation-learning unreal-engine-4 carla carla-simulator

Updated Jun 5, 2022
C++

google / trax

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Open

Bidirectional RNN

7

jonatasgrosman commented Oct 7, 2020

Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?

yenchenlin / DeepLearningFlappyBird

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

game deep-learning deep-reinforcement-learning

Updated Dec 9, 2021
Python

aamini / introtodeeplearning

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

mit computer-vision deep-learning tensorflow deep-reinforcement-learning neural-networks tensorflow-tutorials deeplearning jupyter-notebooks music-generation algorithmic-bias

Updated Apr 1, 2022
Jupyter Notebook

AI4Finance-Foundation / FinRL

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Open

Make finrl.test() 's output directly usable with portfolio analysis tool

4

dev590t commented May 24, 2022

finrl.test() return a list of int of portfolio value, it doesn't contain date data:

from finrl.test import test
account_value_sb3=test(start_date = '2021-10-18', 
                      end_date = '2021-10-19',
...
                      net_dimension = 512)
account_value_sb3

output: 
[1000000.0,
 999698.6172275314,
 999391.9308182714,
...

But portfolio analysis tool(like

Is possible to use Numba to speed up the preprocessing step of FinRL?

6

Open

tutorials1-FinRL_PortfolioAllocation_NeurIPS_2020 can't train, it outputs "nan"

1

Find more good first issues

evilsocket / pwnagotchi

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

ai deep-learning deep-reinforcement-learning wpa-psk bettercap deep-neural-network handshakes

Updated May 26, 2022
JavaScript

yandexdataschool / Practical_RL

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A course in reinforcement learning in the wild

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

Updated Apr 17, 2022
Jupyter Notebook

datawhalechina / easy-rl

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强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

reinforcement-learning deep-reinforcement-learning q-learning dqn policy-gradient sarsa a3c ddpg imitation-learning double-dqn dueling-dqn ppo td3 easy-rl

Updated Jun 1, 2022
Python

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 Feb 15, 2022
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

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 Apr 21, 2022
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 May 24, 2022
Python

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 May 26, 2022
Python

ShangtongZhang / DeepRL

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Modularized Implementation of Deep RL Algorithms in PyTorch

deep-reinforcement-learning rainbow pytorch dqn ddpg double-dqn dueling-network-architecture quantile-regression option-critic-architecture deeprl categorical-dqn ppo a2c prioritized-experience-replay option-critic td3

Updated May 10, 2022
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).