402 Open source projects that are alternatives of or similar to Variational Recurrent Autoencoder Tensorflow

Variational Autoencoder trained by Feature Perceputal Loss

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

ECG classification programs based on ML/DL methods

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

The Official Deep Learning Framework for Route-based Place Recognition

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

HDLTex: Hierarchical Deep Learning for Text Classification

Paper collection of Neural Text Generation

A Natural Language Toolkit for Indian Languages

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

Kalman Variational Auto-Encoder

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Text classifier for Hierarchical Attention Networks for Document Classification

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

Layer-wise Relevance Propagation (LRP) for LSTMs

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

Deep Learning sample programs using PyTorch in C++

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Quasi-recurrent Neural Networks for Keras

Deep learning for price movement prediction using high frequency limit order data

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Voice conversion (VC) investigation using three variants of VAE

Plain Stock Close-Price Prediction via Graves LSTM RNNs

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

keras project that parses and analyze english resumes

SRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

The code for the MaD TwinNet. Demo page:

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

Advanced Deep Learning with Keras, published by Packt

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

Optimus: the first large-scale pre-trained VAE language model

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

TensorFlow and Deep Learning Tutorials

A Collection of Variational Autoencoders (VAE) in PyTorch.

Visualizing RNNs using the attention mechanism

Handwriting Synthesis with RNNs ✏️

RNN-based generative models for speech.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Keras Temporal Convolutional Network.

Deep Reinforcement Learning based Trading Agent for Bitcoin

Blend beats using machine learning to create music in a fun new way.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network