162 Open source projects that are alternatives of or similar to Awesome Automl

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

An autoML framework & toolkit for machine learning on graphs.

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

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.

Automated Machine Learning Framework for kdb+

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Managed Machine Learning Systems and Internet of Things Live Lesson

Distribution transparent Machine Learning experiments on Apache Spark

TODS: An Automated Time-series Outlier Detection System

Python package for automatically constructing features from multiple time series

Machine learning for Ruby

Genetic neural architecture search with Keras

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

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

An automatic machine learning system

Merlion: A Machine Learning Framework for Time Series Intelligence

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Automated machine learning (AutoML) with grammar-based genetic programming

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

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

Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Python automated machine learning framework.

Google Brain AutoML

This is an simple example of tagging bank transactions with ML.NET

Machine Learning in one line of code

A Python framework for program synthesis with a focus on Automated Machine Learning.

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.

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

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

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

Code for Kaggle Data Science Competitions

Gradient based Hyperparameter Tuning library in PyTorch

Encodings for neural architecture search

Free automated deep learning for spreadsheets

Awesome Neural Architecture Search Papers

Predictive AI layer for existing databases.

Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

OpenML AutoML Benchmarking Framework

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Google Cloud Platform Machine Learning Samples

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

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Fast and flexible AutoML with learning guarantees.

AutoVideo: An Automated Video Action Recognition System

Automated machine learning package

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL