638 Open source projects that are alternatives of or similar to Shapley_regressions

R package for statistical inference using partially observed Markov processes

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Predicting the winner of 2019 cricket world cup using random forest algorithm

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

Using LSTM network for time series forecasting

Misc Statistics and Machine Learning codes in R

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Hypothesis and statistical testing in Python

Code for Java Deep Learning Cookbook

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

PyTorch implementations of neural networks for timeseries classification

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

WRENCH: Cyberinfrastructure Simulation Workbench

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

A super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.

No description or website provided.

Wavefront Proxy Project

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

An Awesome List of Cognitive Science Resources

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Forecast time series and stock prices with SCINet

A Java library for Matrix Profile

Machine Learning algorithms coded from scratch

An integrated framework in R for textual sentiment time series aggregation and prediction

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Papers : Biological and Artificial Neural Networks

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

Official code for UnICORNN (ICML 2021)

PlotTwist - a web app for plotting and annotating time-series data

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Time series market data

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

Functions for easily making publication-quality figures with matplotlib.

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Predict time-series with one line of code.

Go Scoring API for PMML

ML-powered Loan-Marketer Customer Filtering Engine

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

Probably the best curated list of data science books in Python

A MATLAB toolbox for classifier: Version 1.0.7

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

LSTM Mobility Model implementation using Tensorflow

The Unpack.AI library

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Visualizing Artificial Neural Networks (ANNs) with just One Line of Code

Open Source Phasor Data Concentrator

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

Data visualization tool for wikis evolution

This is the official implementation for the paper 'AutoEncoder by Forest'

Example of order book modeling.

Code examples for pyFTS

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

Automated Time Series Forecasting

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

RidgeRun Inference Framework

Time series implementation in Go

Examples of Data Science projects and Artificial Intelligence use cases

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.