#Automl
Showing 60 of 124 repositories tagged #automl, ranked by stars
🏆 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.
Fast and Accurate ML in 3 Lines of Code
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
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.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
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
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Lightning ⚡️ fast forecasting with statistical and econometric models.
Merlion: A Machine Learning Framework for Time Series Intelligence
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Differentiable architecture search for convolutional and recurrent networks
High-Performance Symbolic Regression in Python and Julia
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
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
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
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
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
Provide an input CSV and a target field to predict, generate a model + code to run it.
Automated Machine Learning on Kubernetes
TODS: An Automated Time-series Outlier Detection System
[UNMAINTAINED] Automated machine learning for analytics & production
Official Implementation of 'Fast AutoAugment' in PyTorch.
MLBox is a powerful Automated Machine Learning python library.
An agentic Machine Learning Engineer
ModelFox makes it easy to train, deploy, and monitor machine learning models.
Fast and customizable framework for automatic ML model creation (AutoML)
Automated Time Series Forecasting
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Build computer vision models in a fraction of the time and with less data.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
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
Early POC of genetic neural architecture search
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
LAMA - automatic model creation framework
EvalML is an AutoML library written in python.
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Power Tools for AI Engineers With Deadlines
Distributed High-Performance Symbolic Regression in Julia
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Code for Kaggle Data Science Competitions
Manipulating Python Programs
Automated modeling and machine learning framework FEDOT
Machine learning for Ruby
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.