mlpack 4
mlpack 4: a fast, header-only C++ machine learning library - Published in JOSS (2023)
gmr
gmr: Gaussian Mixture Regression - Published in JOSS (2021)
PerMetrics
PerMetrics: A Framework of Performance Metrics for Machine Learning Models - Published in JOSS (2024)
mlr3
mlr3: A modern object-oriented machine learning framework in R - Published in JOSS (2019)
Methods and Algorithms for Correlation Analysis in R
Methods and Algorithms for Correlation Analysis in R - Published in JOSS (2020)
piecewise-regression (aka segmented regression) in Python
piecewise-regression (aka segmented regression) in Python - Published in JOSS (2021)
Model dispersion with PRISM; an alternative to MCMC for rapid analysis of models
Model dispersion with PRISM; an alternative to MCMC for rapid analysis of models - Published in JOSS (2019)
BetaML
BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia - Published in JOSS (2021)
fitgrid
fitgrid: A Python package for multi-channel event-related time series regression modeling - Published in JOSS (2021)
RENT
RENT: A Python Package for Repeated Elastic Net Feature Selection - Published in JOSS (2021)
skpro
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
pyabsa
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
flaml
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
mlni
Machine Learning in NeuroImaging (MLNI) is a python package that performs various tasks using neuroimaging data.
reflame
reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization
mapie
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
brglm2
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
multi-mode-cnn-pytorch
A PyTorch implementation of the Multi-Mode CNN to reconstruct Chlorophyll-a time series in the global ocean from oceanic and atmospheric physical drivers
https://github.com/bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
https://github.com/timeseriesai/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
@stdlib/stats-lowess
Locally-weighted polynomial regression via the LOWESS algorithm.
https://github.com/sanity/pav.rs
An implementation of the Pair Adjacent Violators algorithm for isotonic regression in Rust
tmu
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
https://github.com/simple-statistics/simple-statistics
simple statistics for node & browser javascript
https://github.com/cair/pytsetlinmachine
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget
tstoolbox
Command line script and Python library to work with time-series data.
MLJ
MLJ: A Julia package for composable machine learning - Published in JOSS (2020)
m5py
An implementation of M5 and model trees in python, compliant with scikit-learn.
https://github.com/biocore/birdman
Bayesian Inferential Regression for Differential Microbiome Analysis
@stdlib/ml-incr-sgd-regression
Online regression via stochastic gradient descent (SGD).
deconvR
The deconvR is an R package designed for analyzing deconvolution of the bulk sample(s) using an atlas of reference omic signature profiles and a user-selected model.
projection-pursuit
An implementation of multivariate projection pursuit regression and univariate classification
ridge
CRAN R Package: Ridge Regression with automatic selection of the penalty parameter
https://github.com/drsoliddevil/mlr-gd
Multiple linear regression by gradient descent.
https://github.com/cair/pytsetlinmachinecuda
Massively Parallel and Asynchronous Architecture for Logic-based AI
https://github.com/gperdrizet/ensembleset
Ensemble dataset generator for tabular data prediction and modeling projects.
https://github.com/cair/pytsetlinmachineparallel
Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.
https://github.com/cair/regression-tsetlin-machine
Implementation of the Regression Tsetlin Machine
https://github.com/alibaba/alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
rfUtilities
R package for random forests model selection, inference, evaluation and validation
https://github.com/sky-uk/anticipy
A Python library for time series forecasting
https://github.com/paulwilcox/fluent-data
Manipulate datasets by chaining methods. Includes capacity to map, filter, sort, group, reduce, and merge data. Built in reducers include multiple regression.
https://github.com/ahmedshahriar/housing-price-prediction
Data science project on Housing Prices Dataset regression analysis
https://github.com/dimits-ts/disruptive-science-study
Predicting the impact of scientific papers using traditional machine learning models and NLP
evorbf
EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks
tidyfit
An extension to the R tidyverse for automated ML. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
glm-project
Car Price and Heart Failure prediction using Generalized Linear Models (GLMs)
swissfit
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
https://github.com/aaltoml/hilbert-gp
Codes for Hilbert space reduced-rank GP regression
https://github.com/ammarlodhi255/student_performance_indicator_end-to-end_implementation
An end-to-end machine learning project, student performance indicator. The goal of this project is to understand the influence of the parents background, test preparation, and various other variables on the students performance.
gandlf
A generalizable application framework for segmentation, regression, and classification using PyTorch
rgnoisefilt
Elimination of Noisy Samples in Regression Datasets using Noise Filters
decompose
Principal Component Analysis (PCA) Algorithm was implemented to determine the Functional Age of the Power Transformer using Return Voltage Measurement (RVM). [submitted]
stockpy-learn
Deep Learning Regression and Classification Library built on top of PyTorch and Pyro
l0
Scalable reinforcement learning pipeline for general-purpose agents. Build and train agents using the Notebook Agent (NB-Agent) in a flexible environment. 🐙🚀
skinstression
Perform skin stress-strain curve regression on SHG images using deep learning
waveletml
WaveletML: A Scalable and Extensible Wavelet Neural Network Framework
prettyglm
prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.
robust-outlier-rejection
Robust Chauvenet Outlier Rejection: RCR is advanced, but easy to use, outlier rejection.
https://github.com/biswajitsahoo1111/machine_learning_regression_and_optimization
This repository contains code examples supplementing the paper titled "Machine Learning, Regression, and Optimization".
regressor
Regressing how many citations a given paper will have based on its abstract, title, year
xanfis
X-ANFIS: An Extensible and Cross-Learning ANFIS Framework for Machine Learning Tasks