157 Open source projects that are alternatives of or similar to sdsj-automl

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A simple, extensible library for developing AutoML systems

Primitives for machine learning and data science.

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collecting related resources of automated machine learning here

Time Series Forecasting Best Practices & Examples

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Genetic neural architecture search with Keras

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Provide an input CSV and a target field to predict, generate a model + code to run it.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Awesome Neural Architecture Search Papers

Code for Kaggle Data Science Competitions

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

Automated Machine Learning with scikit-learn

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

An autoML framework & toolkit for machine learning on graphs.

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

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OpenML AutoML Benchmarking Framework

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

[UNMAINTAINED] Automated machine learning for analytics & production

a distributed Hyperband implementation on Steroids

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

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

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Predictive AI layer for existing databases.

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

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

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

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

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Differentiable architecture search for convolutional and recurrent networks

TensorFlow implementation of PNASNet-5 on ImageNet

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

Library for Semi-Automated Data Science

TODS: An Automated Time-series Outlier Detection System

Open-source implementation of Google Vizier for hyper parameters tuning

AutoGluon: AutoML for Text, Image, and Tabular Data

Python automated machine learning framework.

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

Automated Data Science and Machine Learning library to optimize workflow.

Merlion: A Machine Learning Framework for Time Series Intelligence

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

Official Implementation of 'Fast AutoAugment' in PyTorch.

Automated modeling and machine learning framework FEDOT

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Java and Kotlin Code samples used on cloud.google.com

Automated Time Series Forecasting

Graphic tool for the automated evolutionary design of composite models

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

a delightful machine learning tool that allows you to train, test, and use models without writing code

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 algorithms implemented in PyTorch.