919 Open source projects that are alternatives of or similar to Spiral Tensorflow

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 processing.

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

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

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

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

A curated list of dedicated resources and applications

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

Conversational AI Reading Materials

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

Tensorflow implementation of generative adversarial imitation learning

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

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Master Thesis: Limit order placement with Reinforcement Learning

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

🙄 Difficult algorithm, Simple code.

Handwritten Chinese Characters Generation

Tensorflow re-implementation of GAN for text summarization

Reinforcement Learning Cheat Sheet

Direct Future Prediction (DFP ) in Keras

A web porting for NVlabs' StyleGAN.

Highly Modular and Scalable Reinforcement Learning

A framework using TensorFlow.js for Deep Reinforcement Learning

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Using RGB Image as Visual Input for Mapless Robot Navigation

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Code for "A-NICE-MC: Adversarial Training for MCMC"

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

🤖 Implements of Reinforcement Learning algorithms.

Python Implementation of Reinforcement Learning: An Introduction

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

GAAL-based Outlier Detection

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

강화학습에 대한 기본적인 알고리즘 구현

GANs for time series generation in pytorch

Spectral Normalization for Keras Dense and Convolution Layers

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Deep Neuroevolution

Using Machine Learning to predict the type of exercise from movement data

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

Solving OpenAI Gym problems.

Machine learning, in numpy

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

C51-DDQN in Keras

Reinforcement learning models in ViZDoom environment

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

OpenAI's cartpole env solver.