398 Open source projects that are alternatives of or similar to Siamese Lstm

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Traffic Graph Convolutional Recurrent Neural Network

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

A Natural Language Toolkit for Indian Languages

Optical character recognition Using Deep Learning

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

Repository for Attention Algorithm

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

keras를 이용한 딥러닝 기초 학습

Advanced Deep Learning

LSTM and GRU in PyTorch

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

dentifying gender and regional accent from speech

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Online Hand Writing Recognition using BLSTM

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

https://events.kaspersky.com/hackathon/

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Show and Tell : A Neural Image Caption Generator

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Implementations of machine learning algorithm by Python 3

Models for predicting emotions from English tweets.

使用LSTM训练生成古诗模型，其中生成器可以指定生成风格进行输出

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

Classification of Urban Sound Audio Dataset using LSTM-based model.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

Bangla Machine Translator

Sarcasm Detection for Sentiment Analysis

Annotation of ECG signals using deep learning, tensorflow’ Keras

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

Sentiment Analysis with LSTMs in Tensorflow

A new fork base on tess-two and Tesseract 4.0.0

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Implementation of Neural Image Captioning model using Keras with Theano backend

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

End-2-end speech synthesis with recurrent neural networks

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.