401 Open source projects that are alternatives of or similar to tsfile

Resources for working with time series and sequence data

An OpenTSDB-like time series database, with much better performance.

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

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

Investment portfolio and stocks analyzing tools for Python with free historical data

Making SLOs with Prometheus manageable, accessible, and easy to use for everyone!

R package for statistical inference using partially observed Markov processes

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

super-monorepo for machine learning and algorithmic trading

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Real time sync from MongoDB into InfluxDB

Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models.

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

R interface to Brazilian Central Bank web services

No description or website provided.

Code for "Deep Signature Transforms" (NeurIPS 2019)

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

A framework for historical volatility estimation and analysis.

Time series competition data

Download and tidy time series data from the Australian Bureau of Statistics in R

Periodic time series analysis tools based on information theory

Data abstraction, storage, discovery, and serving system

The official QuestDB website, database documentation and blog.

Pairs trading strategy example based on Catalyst

Sequence Modeling with Structured State Spaces

Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

A Keras library for multi-step time-series forecasting.

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

A Python interface between Earth Engine and xarray for processing time series data

High-availability and horizontal scalability for InfluxDB

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

Imputation of Financial Time Series with Missing Values and/or Outliers

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

fast implementation of singular spectrum transformation (change point detection algorithm)

CentOS based Docker container for Time Series Analysis and Modeling.

GluonTS Deep Learning with Modeltime

Using Kalman Filter to Predict Corona Virus Spread

SUpporting GRaphics with R for ANalysing Time Series

A fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.

Model data as beliefs (at a certain time) about events (at a certain time).

MODIS Assimilation and Processing Engine

Hands-on training labs for Deep Learning in Time Series course by CERTIFAI

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Acquire data with honour and wisdom — using the way of the ninja.

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.

A Univariate Time Series Analysis and ARIMA Modeling Package in ANSI C. Updated with SARIMAX and Auto ARIMA.

A time series database prototype with multiple backends

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Analyzes chronological patterns present in time-series data and provides human-readable descriptions

R Functions implementing UCR Matrix Profile Algorithm

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

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

TalariaDB is a distributed, highly available, and low latency time-series database for Presto

A well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线

A Python library for machine-learning and feedback loops on streaming data

Resampling Tools for Time Series Forecasting with Modeltime

KFAS: R Package for Exponential Family State Space Models

📈 high level wrapper for parallel univariate time series forecasting 📉

Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.