903 Open source projects that are alternatives of or similar to simon-frontend

Efficient Learning of Augmentation Policy Schedules

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

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

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

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

Sequential Model-based Algorithm Configuration

An automatic ML model optimization tool.

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

collecting related resources of automated machine learning here

Official Implementation of 'Fast AutoAugment' in PyTorch.

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

A fast and lightweight AutoML library.

LAMA - automatic model creation framework

Automated Machine Learning with scikit-learn

AutoGluon: AutoML for Text, Image, and Tabular Data

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

A specially designed light version of Fast AutoAugment

Automated modeling and machine learning framework FEDOT

MLBox is a powerful Automated Machine Learning python library.

An open source python library for automated feature engineering

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

A simplified version of featuretools for Spark

AutoML library for deep learning

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Library for Semi-Automated Data Science

a distributed Hyperband implementation on Steroids

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

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

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

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

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

[UNMAINTAINED] Automated machine learning for analytics & production

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

An open source python library for automated feature engineering based on Genetic Programming

Your personal Internet Archive

Exploring data and analyzing metrics for user-specific Medium Stats

Automatically setup and host a Vaultwarden (unoffical Bitwarden) instance on a Raspberry Pi or other Linux Server

An easy way to install and manage server applications

Some people that facilitate science, one way or the other

Tiny c compiler

Empirical Software Engineering journal (EMSE) open science and reproducible research initiative

Wombag is the alternative, lightweight backend for your Wallabag apps. Wombag supports the Wallabag API.

Information Inference Service of the OpenAIRE system

Project management and collaboration over the internet.

Kali Intelligence Suite (KIS) shall aid in the fast, autonomous, central, and comprehensive collection of intelligence by executing standard penetration testing tools. The collected data is internally stored in a structured manner to allow the fast identification and visualisation of the collected information.

Python Implementation of Decay Replay Mining (DREAM)

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`

🐡 Shell script for self-hosting cloud, email, and git services

Easy to Use Torrent Client. Can be hosted in Cloud. Files can be streamed in Browser/Media Player.

High-performance link shortener

A toy programming language.

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

SOCKS5 proxy server

An automatic machine learning system

Save and comment your favorite links from the web. It's just a bookmarking application.

Data Exploration with Apache Drill

A toy C compiler, developed at seccamp2020.

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.