There are 130 repositories under automl topic.
🏆 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.
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台,mlops算法链路全流程,算力租赁平台,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虚拟化,边缘计算,标注平台自动化标注,deepseek等大模型sft微调/奖励模型/强化学习训练,vllm/ollama/mindie大模型多机推理,私有知识库,AI模型市场,支持国产cpu/gpu/npu 昇腾生态,支持RDMA,支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式
Lightning ⚡️ fast forecasting with statistical and econometric models.
Merlion: A Machine Learning Framework for Time Series Intelligence
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Fast and flexible AutoML with learning guarantees.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
High-Performance Symbolic Regression in Python and Julia
a delightful machine learning tool that allows you to train, test, and use models without writing code
A Hyperparameter Tuning Library for Keras
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Automatic architecture search and hyperparameter optimization for PyTorch
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
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
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
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
Provide an input CSV and a target field to predict, generate a model + code to run it.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Java and Kotlin Code samples used on cloud.google.com
[UNMAINTAINED] Automated machine learning for analytics & production