Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Anomaly detection for temporal data using LSTMs

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

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

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

文本情感分析

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

All about Neural Networks!

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

PyTorch tutorial for learners

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Neural machine translator for English2German translation.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

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

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

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.