281 Open source projects that are alternatives of or similar to Awesome Automl Papers

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

AutoVideo: An Automated Video Action Recognition System

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

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

基于Tensorflow2开发的优秀扩展包及项目

🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.

Python package for automatically constructing features from multiple time series

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

Python library for CMA Evolution Strategy.

H. Zhang, Q. Yao, M. Yang, Y. Xu, X. Bai. AutoSTR: Efficient Backbone Search for Scene Text Recognition. European Conference on Computer Vision (ECCV). 2020.

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Automated machine learning package

Parallel random matrix tools and complexity for deep learning

Automatic machine learning for tabular data. ⚡🔥⚡

Reproducible Rapid Research for Neural Architecture Search (NAS)

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

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

MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

A general-purpose pythonic genetic algorithm.

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

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

Set model hyperparameters using deterministic, exact algorithms.

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

A framework for large scale recommendation algorithms.

Black-box optimization library

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

🦅Hyperparameter optimization for machine learning pipelines 🦅

Polyaxon Core Client & CLI to streamline MLOps

Real-time Web Dashboard for Optuna.

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

A toolbox for receptive field analysis and visualizing neural network architectures

Autonomous Performance Tuning for Kubernetes !

A library for performing hyperparameter optimization

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

Parallel Hyperparameter Tuning in Python

An automatic machine learning system

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

Sberbank Data Science Jorney Auto-ML competition

Scalable, structured, dynamically-scheduled hyperparameter optimization.

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

Neural Architecture Search Powered by Swarm Intelligence 🐜

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define m…

Optuna + LightGBM = OptGBM

A research library for pytorch-based neural network pruning, compression, and more.

Hyperparameter optimization package of the mlr3 ecosystem

A shell-friendly hyperparameter search tool inspired by Optuna

Automated Time Series Forecasting

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

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

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.

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

Examples for https://github.com/optuna/optuna

A scikit-learn compatible implementation of hyperband

A full pipeline AutoML tool for tabular data

Easy Hyper Parameter Optimization with mlr and mlrMBO.

Machine Learning Tool Box