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Quick and Easy Time Series Outlier Detection

Awesome Ssl4ts ⭐ 84

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Btctrading ⭐ 83

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Timeseries ⭐ 83

Deep Learning repo for timeseries and sequence data

Awesome Python Machine Learning Resources ⭐ 77

a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

Forecastml ⭐ 76

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour.

Deepecho ⭐ 75

Synthetic Data Generation for mixed-type, multivariate time series.

Paper List Of Time Series Forecasting With Deep Learning ⭐ 75

Kddcup2022 Wpf ⭐ 73

3rd place solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting

Query Selector ⭐ 73

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

Deeplearning_financial ⭐ 71

Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory

Time series forecasting with PyTorch

Sagemaker Deep Demand Forecast ⭐ 63

Using Deep Learning for Demand Forecasting with Amazon SageMaker

Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.

Sky Cast Capstone ⭐ 62

Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series

Did It Spill ⭐ 62

Check if you have training samples in your test set

Wsae Lstm ⭐ 61

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Generative modeling of synthetic time series data and time series augmentations

Raindrop ⭐ 58

Graph Neural Networks for Irregular Time Series

Time Attention ⭐ 58

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

Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.

Voice2series Reprogramming ⭐ 55

ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Timeseriesresearch ⭐ 50

这个开源项目主要是对经典的时间序列预测算法论文进行复现，模型主要参考自GluonTS，框架主要参考自

Tsception ⭐ 50

PyTorch implementation of TSception

Timeseries ⭐ 49

Time Series package for fastai v2

Timeseriesforecasting Deeplearning ⭐ 48

An experiemtal review on deep learning architectures for time series forecasting

Kaggle Study ⭐ 47

TIA(Today I Analyzed) - Data Analysis, Kaggle Study

Dépôt pour le cours d'IA par la communauté @DefendIntelligence.

Ai4water ⭐ 46

framework for developing machine (and deep) learning models for structured data

Awesome Nilm With Code ⭐ 45

A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.

Raincoat ⭐ 45

Domain Adaptation for Time Series Under Feature and Label Shifts

Time Series Transformer ⭐ 44

A data preprocessing package for time series data. Design for machine learning and deep learning.

S Tsfe Dl ⭐ 44

Time Series Feature Extraction using Deep Learning

Dl Twitch Series ⭐ 42

Notebook from the Deep Learning Twitch Series on AWS (https://twitch.tv/aws)

[Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting"

Pytorch Timeseries ⭐ 40

PyTorch implementations of neural networks for timeseries classification

Deep Learning With Python 2nd ⭐ 39

<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소

Spatiotemporal_datasets ⭐ 39

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

Tensorscript ⭐ 38

REPO MOVED TO https://repetere.github.io/jsonstack-model - Deep Learning Classification, Clustering, LSTM Time Series and Regression with Tensorflow

Mckinsey Smartcities Traffic Prediction ⭐ 38

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Modeltime.h2o ⭐ 38

Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.

Modeltime.gluonts ⭐ 37

GluonTS Deep Learning with Modeltime

Cikm22 Tfad ⭐ 37

Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis

Multivariate Attention Tcn ⭐ 35

Java Deep Learning Cookbook ⭐ 35

Java Deep Learning Cookbook, published by Packt

Lfads Torch ⭐ 34

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Timegan Pytorch ⭐ 34

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

multi-dimensional, multi-sensor, multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Ibm Machine Learning Professional Certificate ⭐ 32

Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Also gain practice in specialized topics such as Time Series Analysis and Survival Analysis.

Awesome Synthetic Data ⭐ 28

📖 A curated list of resources dedicated to synthetic data

Transformer_timeseries ⭐ 27

Pytorch code for Google's Temporal Fusion Transformer

Package for Time Series Forecasting and Anomaly Detection Problems.

Time Series Forecasting ⭐ 27

Tutorial repository for time series forecasting models

Mvts Ano Eval ⭐ 26

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

Awesome Deep Time Series Representations ⭐ 26

A curated list of state-of-the-art papers on deep learning for universal representations of time series.

MetaTS | Time Series Forecasting using Meta Learning

Tensorflow Grid Lstm ⭐ 25

Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)

Keras Temporal Autoencoder ⭐ 23

Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.

Btc_data ⭐ 23

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"

Tensorflow_basics ⭐ 23

Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.

Lightweight Temporal Attention Pytorch ⭐ 23

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Kdd2022 Tutorial Time Series ⭐ 23

KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective

Deep Contrastive One-Class Time Series Anomaly Detection

Regression Loss Functions In Time Series Forecasting Tensorflow ⭐ 22

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

Official code for Long Expressive Memory (ICLR 2022, Spotlight)

📈 toolset for time series forecasting

Forex Prediction ⭐ 21

Comparison of few deep learning models on 15m interval USD/EUR time series data

Stock Predictor V4 ⭐ 21

A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.

Imle Net ⭐ 20

Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"

Deeplearning.ai Tensorflow Developer Course ⭐ 19

DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera

Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)

A 60 days+ streak of daily learning of ML/DL/Maths concepts through projects

Soft Dtw Loss ⭐ 18

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

Numerai Benchmark ⭐ 17

Python Code used in publications, for archival purposes only

Dss Plugin Timeseries Forecast ⭐ 17

Dataiku DSS plugin to automate time series forecasting with Deep Learning and statistical models 📈

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

Deep_gas_oracle ⭐ 16

Unofficial implementation of the paper: "Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price"

Forecast Of Time Series With Stock Data ⭐ 16

Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets

Gpu_accelerated_forecasting_modeltime_gluonts ⭐ 16

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

Time Gan Tensorflow ⭐ 16

TensorFlow implementation of TimeGAN model for synthetic time series generation with generative adversarial networks.

Tensorflow implementation of paper 'Learning Representations for Time Series Clustering' (NIPS 2019 accept paper).

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

TensorFlow implementation of the HARNet model for realized volatility forecasting.

Encoderdecoder ⭐ 15

Hybrid CNN-LSTM Encoder Decoder algorithm for multi-step reservoir storage volume forecasting

💰 Interactive dashboard for Stock Market Investments

Deeptimeseriesmodel ⭐ 15

A paper list for Time series modelling, including prediciton and anomaly detection

Unicornn ⭐ 15

Official code for UnICORNN (ICML 2021)

Online Neural Cdes ⭐ 15

Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"

Flow_tutorials ⭐ 15

Public tutorials of using Flow Forecast for forecasting and classifying time series data

Financial Ts Prediction With Deeplearning ⭐ 15

(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

Forestcoverchange ⭐ 15

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

Mathepideeplearning ⭐ 15

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

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