154 Open source projects that are alternatives of or similar to Eps

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

This repo is about NAS

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Fast and flexible AutoML with learning guarantees.

Python Meta-Feature Extractor package.

A full pipeline AutoML tool for tabular data

This is an simple example of tagging bank transactions with ML.NET

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PyTorch implementation of PNASNet-5 on ImageNet

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Automated machine learning package

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Optuna + LightGBM = OptGBM

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

基于Tensorflow2开发的优秀扩展包及项目

ZazuML - easy AutoML for Object Detection

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

A simplified version of featuretools for Spark

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Encodings for neural architecture search

Predictive AI layer for existing databases.

Google Cloud Platform Machine Learning Samples

TODS: An Automated Time-series Outlier Detection System

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

a distributed Hyperband implementation on Steroids

AutoVideo: An Automated Video Action Recognition System

AutoGluon: AutoML for Text, Image, and Tabular Data

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Merlion: A Machine Learning Framework for Time Series Intelligence

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

Distribution transparent Machine Learning experiments on Apache Spark

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Python package for automatically constructing features from multiple time series

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Automatic machine learning for tabular data. ⚡🔥⚡

Automated modeling and machine learning framework FEDOT

Black-box optimization library

Differentiable architecture search for convolutional and recurrent networks

A Python framework for program synthesis with a focus on Automated Machine Learning.

NAS-Bench-201 API and Instruction

Efficient Learning of Augmentation Policy Schedules

Google Brain AutoML

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

Automated machine learning (AutoML) with grammar-based genetic programming