All Projects → Linear Attention Recurrent Neural Network → Similar Projects or Alternatives

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

Keras basic
keras를 이용한 딥러닝 기초 학습
Stars: ✭ 39 (-67.23%)
Mutual labels:  jupyter-notebook, lstm
Sangita
A Natural Language Toolkit for Indian Languages
Stars: ✭ 43 (-63.87%)
Mutual labels:  lstm, recurrent-neural-networks
VariationalNeuralAnnealing
A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.
Stars: ✭ 21 (-82.35%)
Mutual labels:  recurrent-neural-networks, rnn
Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
Stars: ✭ 33 (-72.27%)
Mutual labels:  lstm, attention-mechanism
Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
Stars: ✭ 62 (-47.9%)
Mutual labels:  lstm, rnn
Tensorflow Tutorials For Time Series
TensorFlow Tutorial for Time Series Prediction
Stars: ✭ 1,067 (+796.64%)
Mutual labels:  jupyter-notebook, rnn
Attention
Repository for Attention Algorithm
Stars: ✭ 39 (-67.23%)
Mutual labels:  lstm, attention-model
LSTM-Time-Series-Analysis
Using LSTM network for time series forecasting
Stars: ✭ 41 (-65.55%)
Mutual labels:  recurrent-neural-networks, lstm
ConvLSTM-PyTorch
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+69.75%)
Mutual labels:  lstm, rnn
ntua-slp-semeval2018
Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (-33.61%)
Mutual labels:  lstm, attention-mechanism
CS231n
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (-60.5%)
Mutual labels:  recurrent-neural-networks, lstm
Tensorflow Lstm Sin
TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Stars: ✭ 52 (-56.3%)
Mutual labels:  lstm, recurrent-neural-networks
Time Attention
Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
Stars: ✭ 52 (-56.3%)
Mutual labels:  lstm, rnn
Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測
Stars: ✭ 33 (-72.27%)
Mutual labels:  lstm, rnn
attention-mechanism-keras
attention mechanism in keras, like Dense and RNN...
Stars: ✭ 19 (-84.03%)
deep-improvisation
Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
Stars: ✭ 53 (-55.46%)
Mutual labels:  lstm, rnn
Compact-Global-Descriptor
Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).
Stars: ✭ 22 (-81.51%)
python-machine-learning-book-2nd-edition
<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소
Stars: ✭ 60 (-49.58%)
Mutual labels:  recurrent-neural-networks, rnn
CS231n
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 30 (-74.79%)
Mutual labels:  lstm, rnn
Dense BiLSTM
Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Stars: ✭ 48 (-59.66%)
Mutual labels:  lstm, rnn
Char rnn lm zh
language model in Chinese,基于Pytorch官方文档实现
Stars: ✭ 57 (-52.1%)
Mutual labels:  lstm, rnn
Pytorch-POS-Tagger
Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
Stars: ✭ 24 (-79.83%)
Mutual labels:  lstm, rnn
Ner blstm Crf
LSTM-CRF for NER with ConLL-2002 dataset
Stars: ✭ 51 (-57.14%)
Mutual labels:  jupyter-notebook, lstm
Image Captioning
Image Captioning: Implementing the Neural Image Caption Generator with python
Stars: ✭ 52 (-56.3%)
Mutual labels:  lstm, recurrent-neural-networks
Attentional Interfaces
🔍 Attentional interfaces in TensorFlow.
Stars: ✭ 58 (-51.26%)
Transformer
A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"
Stars: ✭ 271 (+127.73%)
Unet Zoo
A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
Stars: ✭ 302 (+153.78%)
Mutual labels:  lstm, rnn
Cryptocurrency Price Prediction
Cryptocurrency Price Prediction Using LSTM neural network
Stars: ✭ 271 (+127.73%)
Mutual labels:  jupyter-notebook, lstm
Sars tutorial
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Stars: ✭ 320 (+168.91%)
Mutual labels:  jupyter-notebook, rnn
Zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Stars: ✭ 3,307 (+2678.99%)
learningspoons
nlp lecture-notes and source code
Stars: ✭ 29 (-75.63%)
Mutual labels:  lstm, attention-model
Aiopen
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。
Stars: ✭ 62 (-47.9%)
Mutual labels:  jupyter-notebook, lstm
Chicksexer
A Python package for gender classification.
Stars: ✭ 64 (-46.22%)
Mutual labels:  lstm, recurrent-neural-networks
Text summurization abstractive methods
Multiple implementations for abstractive text summurization , using google colab
Stars: ✭ 359 (+201.68%)
Mutual labels:  jupyter-notebook, rnn
Pytorch Rnn Text Classification
Word Embedding + LSTM + FC
Stars: ✭ 112 (-5.88%)
Mutual labels:  lstm, rnn
Stock Prediction Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stars: ✭ 4,660 (+3815.97%)
Mutual labels:  jupyter-notebook, lstm
Qa Rankit
QA - Answer Selection (Rank candidate answers for a given question)
Stars: ✭ 30 (-74.79%)
Mutual labels:  jupyter-notebook, lstm
Gym Continuousdoubleauction
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.
Stars: ✭ 50 (-57.98%)
Mutual labels:  jupyter-notebook, lstm
Char Rnn Pytorch
使用PyTorch实现Char RNN生成古诗和周杰伦的歌词
Stars: ✭ 114 (-4.2%)
Mutual labels:  jupyter-notebook, rnn
Deepattention
Deep Visual Attention Prediction (TIP18)
Stars: ✭ 65 (-45.38%)
Pytorch Attention Guided Cyclegan
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
Stars: ✭ 67 (-43.7%)
Tsai
Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
Stars: ✭ 407 (+242.02%)
Mutual labels:  jupyter-notebook, rnn
Action Recognition Visual Attention
Action recognition using soft attention based deep recurrent neural networks
Stars: ✭ 350 (+194.12%)
Deeplearning.ai Natural Language Processing Specialization
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
Stars: ✭ 473 (+297.48%)
Multilabel Timeseries Classification With Lstm
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Stars: ✭ 519 (+336.13%)
Mutual labels:  jupyter-notebook, lstm
Structured Self Attention
A Structured Self-attentive Sentence Embedding
Stars: ✭ 459 (+285.71%)
Attention Networks For Classification
Hierarchical Attention Networks for Document Classification in PyTorch
Stars: ✭ 540 (+353.78%)
Mutual labels:  jupyter-notebook, lstm
Deeplearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+5600%)
Mutual labels:  jupyter-notebook, rnn
Fast Pytorch
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Stars: ✭ 346 (+190.76%)
Mutual labels:  jupyter-notebook, rnn
Tensorflow cookbook
Code for Tensorflow Machine Learning Cookbook
Stars: ✭ 5,984 (+4928.57%)
Mutual labels:  jupyter-notebook, rnn
Codegan
[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
Stars: ✭ 73 (-38.66%)
Mutual labels:  rnn, recurrent-neural-networks
Keras Attention
Visualizing RNNs using the attention mechanism
Stars: ✭ 697 (+485.71%)
Lstm Ctc Ocr
using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc
Stars: ✭ 70 (-41.18%)
Mutual labels:  lstm, recurrent-neural-networks
Rnn Text Classification Tf
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Stars: ✭ 114 (-4.2%)
Mutual labels:  lstm, recurrent-neural-networks
Group Level Emotion Recognition
Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge
Stars: ✭ 70 (-41.18%)
Gru Svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Stars: ✭ 76 (-36.13%)
Mutual labels:  rnn, recurrent-neural-networks
Code
ECG Classification
Stars: ✭ 78 (-34.45%)
Mutual labels:  rnn, attention-model
Copper price forecast
copper price(time series) prediction using bpnn and lstm
Stars: ✭ 81 (-31.93%)
Mutual labels:  lstm, rnn
Pytorch Sentiment Analysis Classification
A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
Stars: ✭ 80 (-32.77%)
Mutual labels:  lstm, rnn
Simplednn
SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks
Stars: ✭ 81 (-31.93%)
121-180 of 6780 similar projects