103 Open source projects that are alternatives of or similar to recurrent-neural-net

This repo provides projects on deep-learning mainly using Tensorflow 2.0

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.

PyTorch tutorial for learners

Python Library for Model Interpretation/Explanations

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Generating Captions for images using Deep Learning

Entirety.ai Intuition to Implementation Meetup Content.

Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]

List of papers, code and experiments using deep learning for time series forecasting

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Generate monophonic melodies with machine learning using a basic LSTM RNN

A curated list of dedicated resources and applications

Aspect Based Sentiment Analysis

Highway Networks implement in pytorch

CNN, LSTM, NBOW, fasttext 中文文本分类

Realistic Handwriting with Tensorflow

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

NLP with NLTK for Sentiment analysis amazon Products Reviews

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

How to build RNNs and LSTMs from scratch with NumPy.

Introducing neural networks to predict stock prices

[deprecated] reference code for string segmentation using LSTM(tensorflow)

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Implementation of a hierarchical CNN based model to detect Big Five personality traits

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Understanding and visualizing PyTorch Batching with LSTM

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

Video to Text: Generates description in natural language for given video (Video Captioning)

A open source repository of different kinds of algorithms in c. Newbies are encouraged to contribute! Note: I made this code when i didn't have as much experience in programming

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Char-level RNN LSTM text generator📄.

C Programming Experiments

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

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

Context-Dependent Sentiment Analysis in User-Generated Videos

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Anomaly detection for temporal data using LSTMs

Image Captioning: Implementing the Neural Image Caption Generator with python

Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

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.

Aulas da Escola de Inteligência Artificial de São Paulo

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

time-series prediction for predictive maintenance

Stock Price Prediction using Machine Learning Techniques

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

👨‍💻An operating system, built from scratch in C.

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

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

Sentence paraphrase generation at the sentence level

Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

Paratope Prediction using Deep Learning

Hybrid Time Series using LSTM and Kalman Filtering

Automatic trading bot (WIP)

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python