429 Open source projects that are alternatives of or similar to LSTM-GRU-from-scratch

Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

Word Embedding + LSTM + FC

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

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

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

Haste: a fast, simple, and open RNN library

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

Application of machine learning to the Coinbase (GDAX) orderbook

Predict Cryptocurrency Price with Deep Learning

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

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

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

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

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.

Deep Learning

language models toolkits with hierarchical softmax setting

Keras tutorial for beginners (using TF backend)

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

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

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

🔬 Nano size Theano LSTM module

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

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

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

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

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

Recurrent Additive Networks for Tensorflow

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

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

Transliterating English to Hindi using Recurrent Neural Networks

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

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Repository for Attention Algorithm

Show and Tell : A Neural Image Caption Generator

Tensorflow Node.js Examples

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

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

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

Implementations of machine learning algorithm by Python 3

Generate Thai Songs' lyrics using Deep Learning

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Relation Classification - SEMEVAL 2010 task 8 dataset

bitcoin prediction algorithms

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

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

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

pytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

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

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

Neural network that solves math equations on the character level

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

Advanced Deep Learning

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

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

A simplification of Tensorflow Tensor Operations