automl

37 proyectos comparten este topic de GitHub

Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.

🧬 Miembros

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Fast and Accurate ML in 3 Lines of Code

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

AutoML library for deep learning

An open source python library for automated feature engineering

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient…

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，…

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

Lightning ⚡️ fast forecasting with statistical and econometric models.

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

Lazy Predict help build a lot of basic models without much code and helps understand which models works…

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and…

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,…

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an…

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly…

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri.…

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

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

MLBox is a powerful Automated Machine Learning python library.

Build computer vision models in a fraction of the time and with less data.

Early POC of genetic neural architecture search

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster…

vertex-ai-samples

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage…

Deep Learning ❤️ PyTorch

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML &…

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It…

🔗 Familias relacionadas

automated-machine-learning 12 classification 68 anomaly-detection 23 algorithm 32 keras 47 data-analysis 46 clustering 26 big-data 16

Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.