202 Open source projects that are alternatives of or similar to Once For All

This repo is about NAS

NAS-Bench-201 API and Instruction

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

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

Automated deep learning algorithms implemented in PyTorch.

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

Awesome Neural Architecture Search Papers

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

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

"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.

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

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

Encodings for neural architecture search

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

Machine learning for Ruby

A macOS GUI for rsync

Efficient Learning of Augmentation Policy Schedules

Web application for archival and reading of manga/doujinshi. Lightweight and Docker-ready for NAS/servers.

collecting related resources of automated machine learning here

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

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

🚧 Under Construction 🚧 记录搭建家用兼顾学习和娱乐网络环境的一些事情，以及折腾过的一些硬件的小经验。

Predictive AI layer for existing databases.

《30天自制操作系统》源码中文版。自己制作一个操作系统（OSASK）的过程

BicBucStriim streams books, digital books. It fills a gap in the functionality of current NAS devices that provide access to music, videos and photos -- but not books. BicBucStriim fills this gap and provides web-based access to your e-book collection.

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

AutoML library for deep learning

Ansible based Homeserver setup using Docker

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Fast and flexible AutoML with learning guarantees.

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

🤖 telegram bot for movies

a distributed Hyperband implementation on Steroids

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.

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

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

Google Brain AutoML

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.

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

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

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

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

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

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

An open source python library for automated feature engineering

ZazuML - easy AutoML for Object Detection

Differentiable architecture search for convolutional and recurrent networks

Code for Kaggle Data Science Competitions

Armbian configuration utility

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

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

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

PyTorch implementation of PNASNet-5 on ImageNet

Primitives for machine learning and data science.

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Automated Machine Learning with scikit-learn

Grab your files periodically from a remote FTP or SFTP server easily

TODS: An Automated Time-series Outlier Detection System

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.