1378 Open source projects that are alternatives of or similar to Deep Generative Models For Natural Language Processing

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

A Vietnamese natural language processing toolkit (NAACL 2018)

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Implementation of VLAE

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Collection of probabilistic models and inference algorithms

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

PixelVAE with or without regularization

High-accuracy NLP parser with models for 11 languages.

Generative Adversarial Networks (GANs) resources sorted by citations

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Periodic Spatial Generative Adversarial Networks

GPstuff - Gaussian process models for Bayesian analysis

spaCy REST API, wrapped in a Docker container.

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Curated list of all NLP Resources

Guided Conditional Wasserstein GAN for De Novo Protein Design

Automatic Reparameterisation of Probabilistic Programs

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

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

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

Boltzmann Machines in TensorFlow with examples

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

Pytorch implementation of pix2pix for various datasets.

Pytorch implementation of Generated Image Quality Assessment

Research Framework for easy and efficient training of GANs based on Pytorch

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.

Automatic Generation of Brief Summaries of Time-Series Data

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Summarization Papers

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

Speech Enhancement Generative Adversarial Network in TensorFlow

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Generator loss to reduce mode-collapse and to improve the generated samples quality.

No description or website provided.

Regression with Summary Statistics.

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

CmdStanR: the R interface to CmdStan

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..

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

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

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Collection of generative models in Tensorflow

A curated list of recent models of text generation and application

The notes for Math, Machine Learning, Deep Learning and Research papers.

Kadot, the unsupervised natural language processing library.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Attention-based multimodal fusion for sentiment analysis

Default English stopword lists from many different sources

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

shinystan R package and ShinyStan GUI

Python script to download public Tweets from a given Twitter account into a format suitable for AI text generation.

Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

State of the Art Natural Language Processing

My completed implementation solutions for CS224N 2019

OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0