202 Open source projects that are alternatives of or similar to Fairdarts

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

The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].

Encodings for neural architecture search

This repo is about NAS

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

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

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

"NAS evaluation is frustratingly hard", ICLR2020

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

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

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Automated deep learning algorithms implemented in PyTorch.

Awesome Neural Architecture Search Papers

NAS-Bench-201 API and Instruction

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

[LPIRC 2019] First place in the Visual Wake Words challenge (TF-lite track)

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

Primitives for machine learning and data science.

[UNMAINTAINED] Automated machine learning for analytics & production

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

🤖 telegram bot for movies

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Awesome Resources for Advanced Computer Vision Topics

Ansible based Homeserver setup using Docker

Genetic neural architecture search with Keras

State-of-the art Automated Machine Learning python library for Tabular Data

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

Distributed High-Performance symbolic regression in Julia

LizardFS is an Open Source Distributed File System licensed under GPLv3.

TensorFlow implementation of PNASNet-5 on ImageNet

Cheatsheet and bash scripts sripts for Synology Nas Stations cheet cheat sheet nas networkdisk

AutoML library for deep learning

Open-source implementation of Google Vizier for hyper parameters tuning

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

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

collecting related resources of automated machine learning here

Automated Data Science and Machine Learning library to optimize workflow.

AutoML frAmework for Neural Networks

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Official Implementation of 'Fast AutoAugment' in PyTorch.

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

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

A macOS GUI for rsync

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

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.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Lightwood is Legos for Machine Learning.

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

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.

Build a full-featured home server or NAS replacement with an Ubuntu box and this playbook.

PaddleSlim is an open-source library for deep model compression and architecture search.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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

This project is a kind of implementation of SpineNet(CVPR 2020) using mmdetection.

An open source python library for automated feature engineering

Code for Kaggle Data Science Competitions

MLBox is a powerful Automated Machine Learning python library.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

reproduction of the article