383 Open source projects that are alternatives of or similar to Vae Seq

A Tensorfflow implementation of Attend, Infer, Repeat

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

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

Comparison of Generative Models in Tensorflow

1st place solution

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Machine learning, in numpy

copper price(time series) prediction using bpnn and lstm

rnn based model for recommendations

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

CNN, LSTM, NBOW, fasttext 中文文本分类

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

ECG Classification

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

PyTorch tutorial for learners

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

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

Deep Learning sample programs using PyTorch in C++

Python library for Reservoir Computing using Echo State Networks

Query-Reduction Networks (QRN)

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

Word Embedding + LSTM + FC

Detecting emotions using MFCC features of human speech using Deep Learning

Generate monophonic melodies with machine learning using a basic LSTM RNN

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

PPPL deep learning disruption prediction package

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

All my experiments with AI and ML

My Attempt(s) In The World Of ML/DL....

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

Event-based music generation with RNN using PyTorch

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Variational Autoencoder trained by Feature Perceputal Loss

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

speech-to-text in pytorch

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

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

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

Datasets, tools, and benchmarks for representation learning of code.

基于RNN生成古诗

Tensorflow implementation of conditional variational auto-encoder for MNIST

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