6780 Open source projects that are alternatives of or similar to Linear Attention Recurrent Neural Network

Multiple implementations for abstractive text summurization , using google colab

A TensorFlow Implementation of the Transformer: Attention Is All You Need

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

RMDL: Random Multimodel Deep Learning for Classification

A Structured Self-attentive Sentence Embedding

Predict Cryptocurrency Price with Deep Learning

Neural Turing Machines (NTM) - PyTorch Implementation

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Automatically generate headlines to short articles

Named Entity Recognition using multilayered bidirectional LSTM

A Benchmark of Text Classification in PyTorch

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Anomaly detection implemented in Keras

Char-RNN implemented using TensorFlow.

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Hierarchical Attention Networks for Document Classification in PyTorch

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Code for Tensorflow Machine Learning Cookbook

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.

Visualizing RNNs using the attention mechanism

Chatbot in 200 lines of code using TensorLayer

Some interesting TensorFlow tutorials for beginners.

Named Entity Recognition with RNN, implemented by Chainer

Convert TensorFlow models to ONNX

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Generating Dance steps for given music with deep learning

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

QA - Answer Selection (Rank candidate answers for a given question)

Implementation of Neural Image Captioning model using Keras with Theano backend

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

TensorFlow Implementation of "Show, Attend and Tell"

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Machine Reading Comprehension in Tensorflow

Text classifier for Hierarchical Attention Networks for Document Classification

A Natural Language Toolkit for Indian Languages

LSTM-CRF for NER with ConLL-2002 dataset

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Image Captioning: Implementing the Neural Image Caption Generator with python

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

language model in Chinese，基于Pytorch官方文档实现

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

TensorFlow Tutorial for Time Series Prediction

🔍 Attentional interfaces in TensorFlow.

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Deep Visual Attention Prediction (TIP18)

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

A Python package for gender classification.

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc