scikit-learn

An Open Source Machine Learning Framework for Everyone

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and D

Automated Machine Learning with scikit-learn

Provide an input CSV and a target field to predict, generate a model + code to run it.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Examples of Machine Learning code using Comet.ml

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test

A python library for decision tree visualization and model interpretation.

EvalML is an AutoML library written in python.

Automated modeling and machine learning framework FEDOT

Fiddler Auditor is a tool to evaluate language models.

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

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Collection of hyperparameter optimization benchmark problems

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

Metric learning algorithms in Python

MLflow - Open Source AI Platform for Agents, LLMs & Models

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

The Tree-Based Pipeline Optimization Tool (TPOT) was one of the very first AutoML methods and open-source software packages developed for the data science community. TPOT was dev

AutoML tools chain

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

Automated Machine Learning with scikit-learn

Provide an input CSV and a target field to predict, generate a model + code to run it.

Bayesian optimization in high-dimensions via random embedding.

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Platform created by the community to programmatically author, schedule and monitor workflows.

Deploy a ML inference service on a budget in less than 10 lines of code.

A system-level, binary package and environment manager running on all major operating systems and platforms.

An open source python library for scalable Bayesian optimisation.

The Open Source Feature Store for AI/ML

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

An open source python library for automated feature engineering

A hyperparameter optimization framework, inspired by Optuna.

Experiment tracking, ML developer tools

Hopsworks - Data-Intensive AI platform with a Feature Store

a distributed Hyperband implementation on Steroids

Tuning hyperparams fast with Hyperband

Distributed Asynchronous Hyperparameter Optimization in Python

A toolset for black-box hyperparameter optimisation.

Jupyter Interactive Notebook

Machine Learning Pipelines for Kubeflow

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other

Automatically visualize your pandas dataframe via a single print! 📊 💡

A model-agnostic visual debugging tool for machine learning

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架


Open Source ML Model Versioning, Metadata, and Experiment Management

A global, black box optimization engine for real world metric optimization.

Docker for Your ML/DL Models Based on OCI Artifacts

RoBO: a Robust Bayesian Optimization framework

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Sequential model-based optimization with a scipy.optimize interface

Spearmint Bayesian optimization codebase

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, in

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-pre