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ast

Adversarial Sparse Transformer for Time Series Forecasting

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bitcoin-lstm-

Cryptocurrencies are digital currencies that have garnered significant investor attention in the financial markets. The aim of this project is to predict the daily price, particularly the daily high and closing price, of the cryptocurrency Bitcoin. This plays a vital role in making trading decisions. There exist various factors which affect the price of Bitcoin, thereby making price prediction a complex and technically challenging task. To perform prediction, we trained temporal neural networks such as time-delay recurrent neural networks (RNN) on historical time series – that is, past prices of Bitcoin over several years. Features such as the opening price, highest price, lowest price, closing price, and volume of a currency over several preceding quartersweretakenintoconsiderationsoastopredictthehighestandclosingpriceofthefuture.

bitcoin-price-prediction---analyse

Recurrent neural networks (RNN) are the state-of-the-art algorithm for sequential data and are used by Apple's Siri and Google's voice search. It is an algorithm that remembers its input due to its internal memory, which makes the algorithm perfectly suited for solving machine learning problems involving sequential data. It is one of the algorithms that has great results in deep learning. In this article it is discussed how to predict the price of Bitcoin by analyzing the information of the last 6 years. We implemented a simple model that helps us better understand how time series works using Python and RNNs.

bitcoin_price_prediction

Multivariate Multi Step Time Series modelling : Predicting the re-rise of bitcoin prices using RNN and optimising the model using GRU and dropout layers.

covid19forecastusingdl

Forecasting COVID-19 Trends in 2021: Comparing RNNs and Time-Series Transformers

deep-learning-time-series

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

dive-into-cv-pytorch

动手学CV-Pytorch版

global-temperature-change-prediction

A Data Science project that uses an ARIMA model for Time Series Forecasting, to predict the temperature of any given city across a specific time period.

lstm

基于LSTM神经网络的时间序列预测

lstm-svm-rf-time-series

Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。

multidimensional-time-series-with-transformer

transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

multivariate-multi-step-time-series-forecasting-via-lstm

多元多步时间序列的LSTM模型预测——基于Keras

multivariate-prediction

time-series-predictoin(LSTNet,SAB,Transformer...)

pytorch-chatbot

pytorch-learning

pytorch-transfomer

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

recruit-restaurant-visitor-forecasting

Restaurant customer prediction using Linear Regression Model, Time series (AR, MA, ARMA, ARIMA, SARIMA) Model, LightGBM, and Recurrent Neural Network (RNN)/Long Short Term Memory (LSTM) Model.

self-attention

Transformer

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

stock-prediction-dual-attention-based-rnn-

Financial time series forecast using dual attention RNN

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

stockprediction

Hobby project in time series analysis with stock market data by comparing different methods for time series prediction, including ARIMA, SARIMAX, LSTM, and transformer.

time-series-forecast

Codes for time series forecast

time-series-prediction-using-transformer

Implement Time Series Prediction by Transformer Model.

time-series-rnn

Time Series Prediction using RNNs

time_series_forecasting

transformer

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

transformer-for-time-series-forecasting-

Time series forecasting by transformer