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

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

attention-based LSTM/Dense implemented by Keras

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

TensorFlow template application for deep learning

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

A visualization tool for understanding and debugging RNNs

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Chinese Poetry Generation

Automatic image captioning model based on Caffe, using features from bottom-up attention.

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

LSTM and QRNN Language Model Toolkit for PyTorch

A neural network that transforms a design mock-up into a static website.

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

Speaker independent emotion recognition

Neural word segmentation with rich pretraining, code for ACL 2017 paper

lidc nodule detection with CNN and LSTM network

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Activity Recognition Algorithms for the Charades Dataset

Library of autoencoders for sequential data

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Keras implementation of Legendre Memory Units

Anomaly detection for temporal data using LSTMs

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

Traffic Graph Convolutional Recurrent Neural Network

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

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

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

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.

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

Attention-based multimodal fusion for sentiment analysis

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Haste: a fast, simple, and open RNN library

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

基于RNN生成古诗

A cute multi-layer LSTM that can perform like a human 🎶

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Explore Action Recognition

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

A bidirectional LSTM with attention for multiclass/multilabel text classification.

News summarization using sequence to sequence model with attention in TensorFlow.

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Activity Recognition from 2D pose using an LSTM RNN

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