153 Open source projects that are alternatives of or similar to aikit

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

Sberbank Data Science Jorney Auto-ML competition

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

A specially designed light version of Fast AutoAugment

A simplified version of featuretools for Spark

Awesome Neural Architecture Search Papers

Distribution transparent Machine Learning experiments on Apache Spark

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

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

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

Time Series Forecasting Best Practices & Examples

Black-box optimization library

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

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

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

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

OpenML AutoML Benchmarking Framework

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

Library for Semi-Automated Data Science

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

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Python package for automatically constructing features from multiple time series

A simple, extensible library for developing AutoML systems

Python automated machine learning framework.

Machine Learning in one line of code

EvalML is an AutoML library written in python.

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

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.

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

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

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

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

Optuna + LightGBM = OptGBM

Gradient based Hyperparameter Tuning library in PyTorch

An open source python library for automated feature engineering based on Genetic Programming

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Python Meta-Feature Extractor package.

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

An automatic machine learning system

A fast and lightweight AutoML library.

A framework for large scale recommendation algorithms.

LAMA - automatic model creation framework

Automated Time Series Forecasting

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.

基于Tensorflow2开发的优秀扩展包及项目

Naszilla is a Python library for neural architecture search (NAS)

Graphic tool for the automated evolutionary design of composite models

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

【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 automatic ML model optimization tool.

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

This repo is about NAS

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

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

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Automatic machine learning for tabular data. ⚡🔥⚡

Managed Machine Learning Systems and Internet of Things Live Lesson