1105 Open source projects that are alternatives of or similar to lightweight-temporal-attention-pytorch

A friendly package for Kepler & TESS time series analysis in Python.

Scalable, event-driven, deep-learning-friendly backtesting library

Simple mmdetection CPU inference

Time-series database

An open-source big data platform designed and optimized for the Internet of Things (IoT).

📈 A small, fast chart for time series, lines, areas, ohlc & bars

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Time Series Metrics Engine based on Cassandra

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

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

Deep Neural Network Ensembles for Time Series Classification

The Open Source Time-Series Data Historian

Automatic extraction of relevant features from time series:

A full featured Generic SNMP data collector with Web Administration Interface for InfluxDB

Bringing financial analysis to the tidyverse

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

Archived incubation repo for InfluxDB 2.0

ELKI Data Mining Toolkit

TensorFlow 2.0 Various notes and tutorials

Kaggle | Web Traffic Forecasting 📈

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

PyTorch implementations of neural networks for timeseries classification

An aggregating proxy to enable HA prometheus

🚂 Python API for Emma's Markov Model Algorithms 🚂

Fastest Integer Compression

Dynamic Time Warping in Python / C (using ctypes)

🕖 A curated list of awesome time series databases, benchmarks and papers

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

Scalable datastore for metrics, events, and real-time analytics

Modeltime unlocks time series forecast models and machine learning in one framework

Python module for machine learning time series:

Historical NAV/price/time-series data of mutual funds and popular benchmark indices in India

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Downsample plugin for Flot charts.

Python implementation of Empirical Mode Decompoisition (EMD) method

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

R Package for Time Series Clustering Along with Optimizations for DTW

Fast and flexible Gaussian Process regression in Python

Creating a model to analyze and predict the trend of the prices of gold.

A python library for Bayesian time series modeling

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

A toolkit for working with time series in R

Time series market data

Low-latency algorithmic trading platform written in Rust

Advanced and Fast Data Transformation in R

Python package for early warning signals (EWS) of bifurcations in time series data.

Automated Time Series Forecasting

A Time Series Data Browser

Time Series Ensemble Forecasting

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

The plugin-driven server agent for collecting & reporting metrics.

Thin Julia wrapper for GDAL - Geospatial Data Abstraction Library

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

COVID-19 statistics for Germany. For states and counties. With time series data. Daily updates. Official RKI numbers.