665 Open source projects that are alternatives of or similar to Textbox

text generation based on transformer

Image captioning using attention models

Sequence to sequence learning using TensorFlow.

Lagrangian VAE

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

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

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

No description or website provided.

DELTA is a deep learning based natural language and speech processing platform.

An open-source tool for sequence learning in NLP built on TensorFlow.

Focal Frequency Loss for Generative Models

Stochastic Adversarial Video Prediction

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

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

Assessing Generative Models via Precision and Recall (official repository)

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!

Conversation models in TensorFlow. (website removed)

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

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

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

MWPToolkit is an open-source framework for math word problem(MWP) solvers.

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"

An Introduction to Deep Generative Modeling: Examples

A toolbox for differentially private data generation

Experiments with satellite image data

Domain adaptation networks for digit recognitioning

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

Generative Adversarial Networks in PyTorch

Generative Adversarial Network with Weight Normalization + ResNet

Generate Cartoon Images using Generative Adversarial Network

PyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.

Evidence-based Explanation Dataset (AACL-IJCNLP 2020)

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

[In-Progress] Tensorflow implementation of Sequence to Sequence Learning with Neural Networks

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

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

Colorization of grayscale images using CycleGAN in TensorFlow.

An extremely simple generative adversarial network, built with TensorFlow

gail, infogail, hierarchical gail implementations

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Code for Paper Abstract Writing through Editing Mechanism

music generation with a classifying variational autoencoder (VAE) and LSTM

Keras implementation of 3D Generative Adversarial Network.

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"