microprediction / mkalgoLinks
Mueen-Keogh Algorithm for finding timeseries motifs
☆21Updated 4 years ago
Alternatives and similar repositories for mkalgo
Users that are interested in mkalgo are comparing it to the libraries listed below
Sorting:
- Random Forest-based "Correlation" measures☆15Updated 3 years ago
- tsbootstrap: generate bootstrapped time series samples in Python☆86Updated 5 months ago
- Time-Series Cross-Validation Module☆46Updated 4 years ago
- Better `keras` models for time series and beyond☆61Updated last year
- Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bo…☆49Updated last year
- This module allows you to easily create order-based financial markets, add agents with various strategies, and evaluate the actions of ag…☆30Updated 3 years ago
- ☆20Updated 2 years ago
- Nonlinear Nonparametric Statistics☆97Updated last week
- Bayesian models to compute performance and uncertainty of returns and alpha.☆112Updated 2 years ago
- An extension of CatBoost to probabilistic modelling☆147Updated 2 years ago
- The aim of this repository is to merge several methods into one library to allow the user to establish the dynamics followed and to make …☆12Updated 2 years ago
- M6-Forecasting competition☆43Updated last year
- ☆33Updated 2 years ago
- Financial Portfolio Optimization Algorithms☆59Updated last year
- Python package for Feature-based Forecast Model Averaging (FFORMA).☆11Updated 2 years ago
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆72Updated 2 years ago
- Python Copula Module☆43Updated 2 years ago
- Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.☆75Updated 7 years ago
- A Python library for the fast symbolic approximation of time series☆49Updated this week
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 3 years ago
- Volatility models for stock prices using deep learning and mixture models.☆16Updated 3 years ago
- Loose collection of Jupyter notebooks, mostly for my blog☆28Updated last year
- Bayesian Inference and parameter estimation in quant finance.☆43Updated 6 years ago
- ☆27Updated 6 years ago
- Hello world univariate examples for a variety of time series packages.☆57Updated last year
- Presentation materials for PyMC Statespace☆25Updated last year
- 🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of …☆102Updated last year
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆48Updated 3 years ago
- Automated Transparent Genetic Feature Engineering☆22Updated 2 years ago
- Bayesian online change point detection and offline learning☆57Updated 5 years ago