1215 Open source projects that are alternatives of or similar to Atm

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

[UNMAINTAINED] Automated machine learning for analytics & production

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

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

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

An automatic ML model optimization tool.

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

A curated list of awesome Distributed Deep Learning resources.

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Library for Semi-Automated Data Science

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Sequential Model-based Algorithm Configuration

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Efficient Learning of Augmentation Policy Schedules

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

A simple, extensible library for developing AutoML systems

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

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

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Automated Data Science and Machine Learning library to optimize workflow.

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

An open source python library for automated feature engineering

MLBox is a powerful Automated Machine Learning python library.

Notes for Deep Learning Specialization Courses led by Andrew Ng.

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

LAMA - automatic model creation framework

A fast and lightweight AutoML library.

Automated Machine Learning with scikit-learn

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

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

EvalML is an AutoML library written in python.

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

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

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

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Distribution transparent Machine Learning experiments on Apache Spark

a distributed Hyperband implementation on Steroids

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Automated modeling and machine learning framework FEDOT

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a delightful machine learning tool that allows you to train, test, and use models without writing code

Time Series Cross-Validation -- an extension for scikit-learn

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Python for Data Science (Seminar Course at UC Berkeley; AY 250)

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

Experimental Global Optimization Algorithm

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Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

food image to recipe with deep convolutional neural networks.

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Companion code for the book "Mastering Social Media Mining with Python"

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

💫 Industrial-strength Natural Language Processing (NLP) in Python