Awesome Open Source

Programming Languages

Search results for reinforcement learning generative adversarial network

generative-adversarial-network x

reinforcement-learning x

31 search results found

Annotated_deep_learning_paper_implementations ⭐ 41,877

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Leedl Tutorial ⭐ 8,682

《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalech

Pytorch Tutorial ⭐ 7,372

Build your neural network easy and fast, 莫烦Python中文教学

Tensorlayer ⭐ 7,302

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Awesome Deeplearning ⭐ 2,670

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Tensorflow2.0 Examples ⭐ 1,692

🙄 Difficult algorithm, Simple code.

Advanced Deep Learning With Keras ⭐ 1,534

Advanced Deep Learning with Keras, published by Packt

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

Pytorch Rl ⭐ 638

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Leakgan ⭐ 561

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Exposure ⭐ 511

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Papers In 100 Lines Of Code ⭐ 395

Implementation of papers in 100 lines of code.

Papers For Molecular Design Using Dl ⭐ 367

List of molecular design using Generative AI and Deep Learning

Pytorch Rl ⭐ 356

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Accel Brain Code ⭐ 289

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language proces

Ml 2021 Notes ⭐ 220

李宏毅老師 2021 年機器學習課程筆記

Awesome Tensorlayer ⭐ 212

A curated list of dedicated resources and applications

Awesome Real World Rl ⭐ 199

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

Amazing Machine Learning Opensource 2019 ⭐ 189

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Gail Tf ⭐ 167

Tensorflow implementation of generative adversarial imitation learning

Chemgan Challenge ⭐ 113

Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Spiral Tensorflow ⭐ 113

Mlds2018spring ⭐ 106

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Python Machine Learning Book 3rd Edition ⭐ 93

<머신 러닝 교과서 3판>의 코드 저장소

Awesome Artificial Intelligence Research ⭐ 80

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

Gail_gym ⭐ 75

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

Deep Learning Pytorch ⭐ 61

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Conversational Ai ⭐ 57

Conversational AI Reading Materials

Secondaryawesomecollection ⭐ 49

收集深度学习相关的awesome 资源列表,欢迎补充

Artificialintelligenceengines ⭐ 48

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Projects ⭐ 44

things I help(ed) to build

Qualia2.0 ⭐ 41

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Gan Q Learning ⭐ 37

Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874

Generative Adversarial User Model For Reinforcement Learning Based Recommendation System Pytorch ⭐ 34

Pytorch Rl Cpp ⭐ 31

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Machine Learning ⭐ 31

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Deterministic Gail Pytorch ⭐ 29

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Generate Mazes of different types and Datasets for Deep Learning (GANs, RL)

Ml Research Made Easy ⭐ 19

Link of ML papers to their blogs/ supplementary material

Applied Deep Learning (2019 Spring) @ NTU

Vision2022 ⭐ 18

Slides of "Machine Vision" course by Zhejiang University Student Smart Factory Innovation Club 浙江大学学生智能工厂创新俱乐部《智能工厂软机器视觉教学》社团精品课程

Notebookexplore ⭐ 17

A collection of #MachineLearning #Python Notebooks 🤖 🐍📚 that can be launched to the ☁️ for use and experimentation. No setup needed, just launch it 🚀

Deep Blueberry ⭐ 14

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

Ws 18 19 Deep Learning Tutorial ⭐ 12

Deep Learning and Artificial Intelligence Tutorial @ LMU WS 2018/19

Ml Papers Tldr ⭐ 12

A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.

Dl Illustrated ⭐ 12

<딥러닝 일러스트레이티드>(시그마프레스, 2021)의 코드 저장소

Codebase of Santara et. al., RAIL: Risk Averse Imitation Learning, Published in AAMAS 2018

Selfdrive ⭐ 8

⛊ Self Driving Car with Deep Learning

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Papernotes ⭐ 8

📝 Papers I read and notes/reviews I made. Also useful links to courses (RL/NLP/Bio/QC/DevOps)

Deep_learning ⭐ 8

DL. Some background knowledge in High School level calculus and Python Programming would be helpful. A compilation of resources.

Machine Learning Portfolio ⭐ 7

Assorted machine learning implementations for medical data

Generative_adversarial_imitation_learning ⭐ 6

Mlds_2018spring ⭐ 6

Machine learning and deep structure

Tokmangan ⭐ 5

codes for TokenManipulationGAN

Generative Models ⭐ 5

Repository for self-teaching of Generative Models and its applications.

Related Searches

Python Reinforcement Learning (2,612)

Deep Learning Generative Adversarial Network (1,469)

Jupyter Notebook Generative Adversarial Network (1,324)

Pytorch Generative Adversarial Network (1,193)

Python Generative Adversarial Network (834)

Tensorflow Generative Adversarial Network (824)

Jupyter Notebook Reinforcement Learning (761)

Pytorch Reinforcement Learning (681)

Reinforcement Learning Rl (649)

Artificial Intelligence Reinforcement Learning (623)

1-31 of 31 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.