455 Open source projects that are alternatives of or similar to Paraphraser

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

Anomaly detection for temporal data using LSTMs

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.

Vanilla LSTM with numpy

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

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

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.

Context-Dependent Sentiment Analysis in User-Generated Videos

Image Captioning: Implementing the Neural Image Caption Generator with python

Char-level RNN LSTM text generator📄.

Optical character recognition Using Deep Learning

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

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

CNN, LSTM, NBOW, fasttext 中文文本分类

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

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

Stock Price Prediction using Machine Learning Techniques

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

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

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

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

PyTorch tutorial for learners

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

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

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

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

Core functionality for the Autonomio augmented intelligence workbench.

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

LSTM based on go and gorgonia

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Hybrid Code Networks https://arxiv.org/abs/1702.03274

LSTM RNN for sentiment-based stock prediction

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

an tutorial implement of voice conversion using pytorch

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

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

Samples for TensorFlow binding for .NET by Lost Tech

Thio - a playground for real-time anomaly detection

Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf

No description or website provided.

CPU and GPU implementations of some 2D RNN layers

Lightweight C++11 library for building deep recurrent neural networks

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Image captioning using attention models

Cryptocurrency Price Prediction Using LSTM neural network

🥕 Evolutionary Neural Networks in JavaScript

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Seperate vietnamese using lstm

language models toolkits with hierarchical softmax setting

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

rnn trained on r/totallynotrobots 🤖

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

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