There are 114 repositories under automl topic.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
AutoML library for deep learning
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineering
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.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Lightning ⚡️ fast forecasting with statistical and econometric models.
Fast and flexible AutoML with learning guarantees.
Merlion: A Machine Learning Framework for Time Series Intelligence
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A Hyperparameter Tuning Library for Keras
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Automatic architecture search and hyperparameter optimization for PyTorch
cube studio开源云原生一站式机器学习/深度学习AI平台,支持sso登录,多租户/多项目组,大数据平台对接,notebook在线开发,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务VGPU,边缘计算,serverless,标注平台,自动化标注,数据集管理,大模型微调,vllm大模型推理,llmops,私有知识库,AI模型应用商店,支持模型一键开发/推理/微调,支持国产cpu/gpu/npu芯片,支持RDMA,支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式
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
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
High-Performance Symbolic Regression in Python and Julia
Java and Kotlin Code samples used on cloud.google.com
[UNMAINTAINED] Automated machine learning for analytics & production
Official Implementation of 'Fast AutoAugment' in PyTorch.