aikitAutomated machine learning package
ultraoptDistributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
EasyRecA framework for large scale recommendation algorithms.
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
OptGBMOptuna + LightGBM = OptGBM
deep autovimlBuild tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
BossNAS(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
clara-train-examplesExample notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models
pymfePython Meta-Feature Extractor package.
maggyDistribution transparent Machine Learning experiments on Apache Spark
tsfusePython package for automatically constructing features from multiple time series
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
AutoPrognosisCodebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
simon-frontend💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻
EvolutionaryForestAn open source python library for automated feature engineering based on Genetic Programming
HyperKerasAn AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras
sdsj-automlSberbank Data Science Jorney Auto-ML competition
AutoTSAutomated Time Series Forecasting
HypernetsA General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
FEDOT.WebGraphic tool for the automated evolutionary design of composite models
S2EQ. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
oboeAn AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
NiaAMLPython automated machine learning framework.
nitromlNitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
AutoSpeech[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang