621 Open source projects that are alternatives of or similar to Visual-Attention-Model

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

A Neural Network based Chatbot

Text classifier for Hierarchical Attention Networks for Document Classification

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

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

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

A bidirectional LSTM with attention for multiclass/multilabel text classification.

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)

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

Visualizing RNNs using the attention mechanism

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Named Entity Recognition with RNN, implemented by Chainer

Attention-based bidirectional LSTM for Classification Task (ICASSP)

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

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Photo to illustration converter

Codes and Templates from the SuperDataScience Course

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

Automatic trading bot (WIP)

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

A web-font-based rendering engine for displaying DOS/Amiga ASCII artwork on the web as text

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Procedurally generated, real-time, demoscene style, open source music video made with Unity 3D for Out There by Guney Ozsan.

🌈 Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer.

📦 A Chainer implementation of 3D Generative Adversarial Network.

State of the Art Neural Networks for Deep Learning

Alternative approach for Adaptive Computation Time in TensorFlow

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

(RSS 2018) LoST - Visual Place Recognition using Visual Semantics for Opposite Viewpoints across Day and Night

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

Chainer implementation of Grad-CAM

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'

🌐 In this repository included useful examples of Visual Basic completed on Studio 2017 Enterprise Edition, added diploma work of time since 2013. 👔

Sandbox for training deep learning networks

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

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

TianChi AIEarth Contest Solution

Resource scheduling and cluster management for AI

Deep metric learning methods implemented in Chainer

Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization (3DV 2019)

End-to-End Neural Diarization

Various CNN models for CIFAR10 with Chainer

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

NLP tutorial

chainer implementation of pix2pix

Chainer implementation of Pose Proposal Networks

Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning

ChainerCV: a Library for Deep Learning in Computer Vision

Code for Adversarial Training Methods for Semi-Supervised Text Classification

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

Sentiment Analysis LSTM recurrent neural network's.