Toolbox of models, callbacks, and datasets for AI/ML researchers.

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

A repo containing several methods for near eye gaze tracking in HMDs

HI-ML toolbox for deep learning for medical imaging and Azure integration

An AI/ML toolbox for Laravel

A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard

The toolbox is a collection of PnP methods for Matlab. It can be used to benchmark algorithms.

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

A MATLAB/OCTAVE library for Multi-Label Classification

Nifty Python toolbox - utilities, one-liners, ML & Data Science tools

Simple wrapper for machine learning models in the context of lead-lag projection modelling.

No description available

Curated list of tools and technologies

Adversarial machine learning and explainable machine learning for cyber security

Toolbox for evaluation of ML models under non-constant class-imbalance.

Ancient Secrets of Machine Learning & Optimization

XAI toolbox for interpreting state-of-the-art ML algorithms for high energy physics.

No description available

List of ml tools grouped by their usecase

This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.

MATLAB toolbox for machine learning

The Graphical prototyping Toolbox for ML Experimentation is a composition of web applications which can be accessed from a central workflow page. It contains components for data preparation (maratus), experiment setup (mlkitchen), and algorithm tracking (tracking server, which comes with base library mlflow).

Lightweight Tool to Manage Distributed ML Experiments 🛠

Infrared spectroscopy toolbox for Python. Built for loading, handling, and manipulation of IR spectral datasets, including ML implementation.

Dashing is an extendable and programmable toolbox of interpretable ML models for understanding the resource utilization behavior of HPC applications during on-node scaling.

This Python-based toolbox is designed to optimize geothermal reservoir development by combining advanced Thermo-Hydro-Mechanical (THM) numerical modeling, machine learning (ML) optimization routines, and automated feedback loops.

A collection of machine learning methods for physics applications

PT-MELT (PyTorch Machine Learning Toolbox) is a collection of architectures, processing, and utilities that are transferable over a range of ML applications.

No description available

Machine Learning Toolbox