455 Open source projects that are alternatives of or similar to Hurst

The Sierpinski carpet, triangle, and a fractal tree using SwiftUI

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

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ARCH models in Python

Pairs trading strategy example based on Catalyst

Time series competition data

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

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

Durable time-series database that's API-compatible with Prometheus.

SVG time-series charting library

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

Generator of the Mandelbrot family fractals.

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

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

A Python toolkit for rule-based/unsupervised anomaly detection in time series

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

This curated list contains python packages for time series analysis

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

Minimal Example of Using Vulkan for Compute Operations. Only ~400LOC.

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A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

A redux fractal state library 🕷

🌏: Dungeon free resources (terrain & roguelike generation)

No description or website provided.

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.

R package for statistical inference using partially observed Markov processes

Machine Learning on Sequential Data Using a Recurrent Weighted Average

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.

CRAN R Package: Time Series Missing Value Imputation

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

Quantitative Financial Modelling Framework

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

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

Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

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

A repository to keep track of all the code that I end up writing for my blog posts.

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

Fastest Integer Compression

R Functions implementing UCR Matrix Profile Algorithm

JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily

xirho is a simple generalized iterated function system plotter.

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

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

tsbox: Class-Agnostic Time Series in R

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

Time Series in Go and PostgreSQL

Collection of several downsampling methods for time series visualisation purposes.

A Python library for time series forecasting

Rest API boilerplate for Lumen micro-framework.

Anomaly detection tutorial on univariate time series with an auto-encoder

Tutorial Sessions for SciPy Con 2019

An End-to-end Outlier Detection System

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CNN for stock market prediction using raw data & candlestick graph.

Automatic extraction of relevant features from time series:

Resources for working with time series and sequence data