460 Open source projects that are alternatives of or similar to SeqGAN-PyTorch

Applied Deep Learning (2019 Spring) @ NTU

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

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

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

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Combining deep learning and reinforcement learning.

Stochastic Adversarial Video Prediction

Measures and metrics for image2image tasks. PyTorch.

Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Image-to-Image Translation in PyTorch

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Trust Region Policy Optimization (TRPO) in pure TensorFlow

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

Everything about Generative Adversarial Networks

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Pytorch implementation of Wasserstein GANs with Gradient Penalty

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

(CVPR 2019 Oral) Style Transfer with Geometric Deformation

A minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/pix2pix/).

Lightweight deep RL Libraray for continuous control.

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

Ranking Policy Gradient

Adversarial Generation of Handwritten Text Images

SeqGAN but with more bells and whistles

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

TD-Regularized Actor-Critic Methods

A torch implementation of "Pixel-Level Domain Transfer"

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

A modern deep learning framework built to accelerate research and development of AI systems

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

No description or website provided.

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Generate Chinese hip-pop lyrics using GAN

GAN讨论群讨论汇总的地方

GANs Implementations in Keras

Simple Implementation of many GAN models with PyTorch.

Solving board games like Connect4 using Deep Reinforcement Learning

On the "steerability" of generative adversarial networks

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).

Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"

Summaries of machine learning papers

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks