565 Open source projects that are alternatives of or similar to Manhattan-LSTM

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

language models toolkits with hierarchical softmax setting

This repo contains implementation of different architectures for emotion recognition in conversations.

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

Predict Cryptocurrency Price with Deep Learning

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

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

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

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

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.

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

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

Deep Learning

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

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

Keras tutorial for beginners (using TF backend)

A Keras library for multi-step time-series forecasting.

Haste: a fast, simple, and open RNN library

LSTM, GRU cell implementation from scratch in tensorflow

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.

Word Embedding + LSTM + FC

Application of machine learning to the Coinbase (GDAX) orderbook

Keras and Tensorflow implementation of Siamese Recurrent Architectures for Learning Sentence Similarity

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Recurrent Additive Networks for Tensorflow

Deep Character CNN LSTM Encoder with Classification and Similarity Models

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

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

🔬 Nano size Theano LSTM module

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

A simple implementation of paper "HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate semantic textual similarity."

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

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

Artificially intelligent typing assistant that suggest the next word using user typing history and full sentence using LSTM . Works with any environment (MS word, notepad, coding IDEs or anything)

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

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

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Predict traffic flow with LSTM. For experimental purposes only, unsupported!

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

KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks

Dual Encoders for State-of-the-art Natural Language Processing.

基于深度学习的中文NLP工具

Bidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Optical character recognition Using Deep Learning

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

Forecasting Solar Power: Analysis of using a LSTM Neural Network

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Transliterating English to Hindi using Recurrent Neural Networks

Repository for Attention Algorithm

LSTM to predict wind speed

DeepChem 2017: Deep Learning & NLP for Computational Chemistry, Biology & Nano-materials

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

This is a collection of papers and other resources related to fairness.

Code for ANA at SemEval-2019 Task 3

Prototype for Baby Action Detection and Classification