26 Open source projects that are alternatives of or similar to timeseries-cv

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we pres…

🦅Hyperparameter optimization for machine learning pipelines 🦅

subsemble R package for ensemble learning on subsets of data

Machine learning toolkits with Python

Resampling Tools for Time Series Forecasting with Modeltime

Population Assignment using Genetic, Non-genetic or Integrated Data in a Machine-learning Framework. Methods in Ecology and Evolution. 2018;9:439–446.

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Spatial Modelling for Data Scientists

If you can measure it, consider it predicted

Spatiotemporal resampling methods for mlr3

A document covering machine learning basics. 🤖📊

DataFrame support for scikit-learn.

Utilities for glmnet

Predict time-series with one line of code.

BangDB - nosql database

The implementation of 3D-UNet using PyTorch

Hybrid Time Series using LSTM and Kalman Filtering

Computationally efficient confidence intervals for cross-validated AUC estimates in R

library of numerical methods using Armadillo

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

🎲 🔮 Comprehensive Cross-Validation Engine

R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Statsmodels: statistical modeling and econometrics in Python