904 Open source projects that are alternatives of or similar to cli

A library for performing hyperparameter optimization

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

🦅Hyperparameter optimization for machine learning pipelines 🦅

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.

State-of-the art Automated Machine Learning python library for Tabular Data

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Automated Machine Learning with scikit-learn

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

[UNMAINTAINED] Automated machine learning for analytics & production

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

📒 Experiment tracking tool and model registry

A library for managing, validating, summarizing, and visualizing data.

A curated list of references for MLOps

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Machine Learning Operator & Controller for Kubernetes

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Samples and Tools for Windows ML.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Library for Semi-Automated Data Science

Slack bot for monitoring your Metaflow flows!

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

Predicting Forex Future Price with Machine Learning

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Beneath is a serverless real-time data platform ⚡️

DataOps framework for Machine Learning projects.

Lightweight and Fast Feature Store Powered by Go (and Rust).

Distributed scikit-learn meta-estimators in PySpark

🚀 Build and manage real-life data science projects with ease!

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

Feature Store for Machine Learning

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

AutoGluon: AutoML for Text, Image, and Tabular Data

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Subscribe to this GitHub repo to access the latest tech talks, tech demos, learning materials & modules, and developer community updates!

A collection of notebooks of my Machine Learning class written in python 3

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Sequential model-based optimization with a `scipy.optimize` interface

Open standard for machine learning interoperability

Public reusable components for Polyaxon

A scikit-learn compatible implementation of hyperband

Scalable, structured, dynamically-scheduled hyperparameter optimization.

This repository contains curated, useful resources drafted by DSC Domain Leads.

speaker diarization system using an LSTM

Serving PyTorch models with TorchServe 🔥

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).

Postier is a Laravel API automation platform to transfer data and to sync apps. You can build workflows with data and actions of multiple apps and apply logics to the data!

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

📃Language Model based sentences scoring library