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

Neural Machine Translation with Keras

bitcoin prediction algorithms

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.

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

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

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

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

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.

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

A collection of important graph embedding, classification and representation learning papers with implementations.

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

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Mid-level PyTorch Based Framework for Visual Question Answering.

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

A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Translating English sentences to Marathi using Neural Machine Translation

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Chainer implementation of Deepmind's Visual Attention Model paper

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

S2VT (seq2seq) video captioning with bahdanau & luong attention implementation in Tensorflow

A Neural Network based Chatbot

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

Vanilla LSTM with numpy

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Implementation of Axial attention - attending to multi-dimensional data efficiently

organic chemistry reaction prediction using NMT with Attention

An implementation of the efficient attention module.

Attention Unet model with post process for retina optic disc segmention

DataCLUE: 数据为中心的NLP基准和工具包

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.

Detect Sensitive REST API communication using Deep Neural Networks

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

This is the realization of core DeepLog

Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

Keras implementation of character-level sequence-to-sequence learning for spelling correction

[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"

This is our implementation of SAMN: Social Attentional Memory Network

A recurrent (LSTM) neural network in C

Pytorch implementation of a basic language model using Attention in LSTM network

Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery

Paratope Prediction using Deep Learning

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

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

Data Visualization and Machine Learning with Iris Dataset.

TianChi AIEarth Contest Solution

Hybrid Time Series using LSTM and Kalman Filtering

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

Convolutional GRU

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).