358 Open source projects that are alternatives of or similar to Hierarchical-attention-network

How to build RNNs and LSTMs from scratch with NumPy.

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

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

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

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

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

Understanding and visualizing PyTorch Batching with LSTM

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

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

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

Aspect Based Sentiment Analysis

Char-level RNN LSTM text generator📄.

PyTorch tutorial for learners

CNN, LSTM, NBOW, fasttext 中文文本分类

Context-Dependent Sentiment Analysis in User-Generated Videos

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

Image Captioning: Implementing the Neural Image Caption Generator with python

Python Library for Model Interpretation/Explanations

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

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

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

Stock Price Prediction using Machine Learning Techniques

Introducing neural networks to predict stock prices

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

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

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

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

Sentence paraphrase generation at the sentence level

Solving POMDP using Recurrent networks

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

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

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…

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

Optical character recognition Using Deep Learning

A simple open domain generative based chatbot based on Recurrent Neural Networks

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

Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

An LSTM example using tensorflow to predict the next word in a text

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

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

雷达回波外推，ConvLSTM，训练模型并外推。

All the code files related to the deep learning course from PadhAI

This is a lootfilter for the game "Path of Exile". It hides low value items, uses a markup-scheme and sounds to highlight expensive gear and is based on economy data mining.

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Fast Best-Subset Selection Library

Classifying the Blur and Clear Images

🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

ML algorithm for real-time classification

Vote ALlocating Immune System, an immune-inspired classification algorithm