🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Machine Learning Toolbox 2

A hyperparameter optimization framework

Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.

Fast and Accurate ML in 3 Lines of Code

Polyaxon Core Client & CLI to streamline MLOps

MLOPS applied for rasa

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Hyperparameter Tuning with Microsoft NNI to automated machine learning (AutoML) experiments. The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Python library for CMA Evolution Strategy.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

This is a binary classification problem. There are numerous factors that can contribute to the presence of heart disease. What is the most important factor causing heart disease? Can an accurate classifier be built to predict the presence of heart disease in patients? These are the questions we want to answer with this project.

Minerva is a framework for training machine learning models for researchers.

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

This repository will have all the necessary tutorials to help you learn Data Science, Machine Learning, Deep Learning and AI fundamentals