Alternatives and similar repositories for Deep_Reinforcement_Learning

Users that are interested in Deep_Reinforcement_Learning are comparing it to the libraries listed below

• eemlcommunity / PracticalSessions2020
  Repository for tutorial sessions at EEML2020
  ☆270Updated 4 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆346Updated 5 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 5 years ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆573Updated 4 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆191Updated 5 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 5 years ago
• Cohere-Labs-Community / rl
  Generic reinforcement learning codebase in TensorFlow
  ☆95Updated 4 years ago
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆164Updated 5 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆144Updated 4 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆109Updated 4 years ago
• astrumai / DeepLearningWithTF2.0
  Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
  ☆300Updated 5 years ago
• Tessellate-Imaging / Pytorch_Tutorial
  A set of jupyter notebooks on pytorch functions with examples
  ☆161Updated 5 years ago
• sayakpaul / TF-2.0-Hacks
  Contains my explorations of TensorFlow 2.x
  ☆380Updated 3 years ago
• Machine-Learning-Tokyo / generative_deep_learning
  Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
  ☆25Updated 5 years ago
• mtrazzi / rl-book-challenge
  self-studying the Sutton & Barto the hard way
  ☆200Updated 3 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• zurutech / gans-from-theory-to-production
  Material for the tutorial: "Deep Diving into GANs: from theory to production"
  ☆209Updated 2 years ago
• pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch
  The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
  ☆184Updated 5 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆67Updated 6 years ago
• khanhnamle1994 / deep-reinforcement-learning
  Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
  ☆57Updated 7 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆110Updated 3 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆113Updated 6 years ago
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆317Updated 3 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• deep-learning-indaba / indaba-2018
  Practical Notebooks for the Deep Learning Indaba 2018
  ☆146Updated 7 years ago
• ucalyptus / awesome-fastai
  Curated lists of fastai resources: blog posts, twitter threads etc.
  ☆146Updated 5 years ago
• b13302 / Practical_RL-coursera
  My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera
  ☆67Updated 5 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆180Updated 4 years ago
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆265Updated 6 years ago
• CShorten / HenryAILabs-VideoList
  A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!
  ☆99Updated 2 years ago