209 Open source projects that are alternatives of or similar to Sgas

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

A curated list of awesome architecture search resources

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

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

A full pipeline AutoML tool for tabular data

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

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

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

Primitives for machine learning and data science.

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.

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

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

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

collecting related resources of automated machine learning here

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

[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

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

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

Lightwood is Legos for Machine Learning.

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

The official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.

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

Official Implementation of 'Fast AutoAugment' in PyTorch.

Open Toolkit for Painless Object Detection

MLBox is a powerful Automated Machine Learning python library.

An open source python library for automated feature engineering

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

Reproducible Rapid Research for Neural Architecture Search (NAS)

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

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

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

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

Distributed High-Performance symbolic regression in Julia

Automated modeling and machine learning framework FEDOT

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.

A general, modular, and programmable architecture search framework

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

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

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

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

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

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Google Cloud Platform Machine Learning Samples

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

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

Federated Learning Library: https://fedml.ai

AutoVideo: An Automated Video Action Recognition System

Code for Kaggle Data Science Competitions

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Automated machine learning package

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

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

A framework for large scale recommendation algorithms.

This directory contains code necessary to run the GraphNAS algorithm.

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Automated Machine Learning with scikit-learn

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

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

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