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Top 83 lstm-neural-networks open source projects

Lstm Siamese Text Similarity
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Realistic Handwriting with Tensorflow
Pytorch Kaldi
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.
Speech Recognition Neural Network
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Phasedlstm Keras
Keras implementation of Phased LSTM []
Question Answering
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
Ml Projects
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
Understanding Pytorch Batching Lstm
Understanding and visualizing PyTorch Batching with LSTM
Midi Rnn
Generate monophonic melodies with machine learning using a basic LSTM RNN
Video to Text: Generates description in natural language for given video (Video Captioning)
Deep Generation
I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
Cnn lstm for text classify
CNN, LSTM, NBOW, fasttext 中文文本分类
Tensorflow Sentiment Analysis On Amazon Reviews Data
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.
Simple Chatbot Keras
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
Rnn lstm gesture recog
For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow
Predictive Maintenance Using Lstm
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Lstm rnn tutorials with demo
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Personality Detection
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Sentence paraphrase generation at the sentence level
Da Rnn
📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
yelp comments classification nlp
Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
Time Series Prediction, Stateful LSTM; 时间序列预测,洗发水销量/股票走势预测,有状态循环神经网络
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we pres…
A simple open domain generative based chatbot based on Recurrent Neural Networks
Human Activity Recognition
A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.
Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
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