2362 Open source projects that are alternatives of or similar to Mlds2018spring

Applied Deep Learning (2019 Spring) @ NTU

Implementations of Reinforcement Learning Models in Tensorflow

This repository contains a new generative model of chatbot based on seq2seq modeling.

Minimal and Clean Reinforcement Learning Examples

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

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

A collection of arbitrary text to image papers with code (constantly updating)

Image-to-Image Translation in PyTorch

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

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

No description or website provided.

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Multiple implementations for abstractive text summurization , using google colab

Image-to-image translation with conditional adversarial nets

Focal Frequency Loss for Generative Models

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Invert the color of MNIST images with PyTorch

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

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

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

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.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Deep Reinforcement Learning For Sequence to Sequence Models

Pytorch seq2seq chatbot

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Continious Generative Adversarial Network

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

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

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

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Build conversation Seq2Seq models with TensorFlow

Generative Adversarial Networks in Keras

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Composable GAN framework with api and user interface

The implementation of Relativistic average GAN with Keras

An implementation of CycleGan using TensorFlow

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

in progress

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

a series of tutorials on sequence to sequence learning, implemented with PyTorch.

An implementation of RNNsearch using TensorFlow