Projects in Awesome Lists tagged with automl

https://github.com/zhiqiangdon/online-augment

Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)

auto-augment autoaugment automl data-augmentation efficient-training generative-adversarial-network less-domain-knowledge online-augment online-learning pytorch stn vae

Last synced: 05 Dec 2024

https://github.com/sayakpaul/dual-deployments-on-vertex-ai

Project demonstrating dual model deployment scenarios using Vertex AI (GCP).

automl gcp keras kubeflow mlops tensorflow tfx vertex-ai

Last synced: 13 Jan 2025

https://github.com/cmccomb/rust-automl

Automated Machine Learning in Rust 🦀

automl machine-learning ml rust rust-crate smartcore

Last synced: 27 Oct 2024

https://github.com/firefly-cpp/niaaml

Python automated machine learning framework.

automl classification classification-pipelines framework machine-learning nature-inspired-algorithms python

Last synced: 14 Jan 2025

https://github.com/giantcroc/featuretoolsonspark

A simplified version of featuretools for Spark

automated-feature-engineering automated-machine-learning automl deep-feature-synthesis feature-engineering featuretools machine-learning python spark

Last synced: 12 Oct 2024

https://github.com/georgian-io-archive/foreshadow

An automatic machine learning system

automatic-machine-learning automl machine-learning pandas python sklearn

Last synced: 19 Jan 2025

https://github.com/naszilla/nas-encodings

Encodings for neural architecture search

automl automl-algorithms automl-experiments deep-learning nas nasbench neural-architecture-search pytorch tensorflow

Last synced: 06 Dec 2024

https://github.com/sash-a/codeepneat

An implementation of CoDeepNEAT using pytorch with extensions

automl machine-learning neat neat-algorithm neural-architecture-search neuroevolution

Last synced: 17 Nov 2024

https://github.com/cTJakt/glaucus

A general data-flow-based machine learning suit combining auto machine learning and multiple simplified machine learning algorithm for unprofessional data scenitists

automl deep-learning hyperparameter-optimization machine-learning react

Last synced: 14 Nov 2024

https://github.com/revca-anai/anai

A to Z of ML

automation automl machine-learning machine-learning-algorithms python scikit-learn sklearn

Last synced: 13 Oct 2024

https://github.com/rick12000/confopt

A Library for Conformal Hyperparameter Tuning

automl conformal-prediction hyperparameter-optimization hyperparameter-tuning inferential-statistics machine-learning predictive-modeling

Last synced: 17 Nov 2024

https://github.com/societe-generale/aikit

Automated machine learning package

automl data-science machine-learning python

Last synced: 23 Nov 2024

https://github.com/anonymone/neural-architecture-search

This repo is about NAS

automl deep-neural-networks efficient-architecture-search nas neural-architecture-search optimization paper

Last synced: 02 Dec 2024

https://github.com/a-hanf/mlr3automl

Automated machine learning in mlr3

automl mlr3 r

Last synced: 11 Nov 2024

https://github.com/tslu1s/tsforecasting

TSForecasting: Automated Time Series Forecasting Framework

autogluon automated-forecasting automated-timeseries-forecasting automl automl-pipeline catboost data-science forecasting lightgbm machine-learning python scikit-learn timeseries timeseries-analysis timeseries-forecasting xgboost

Last synced: 09 Nov 2024

https://github.com/mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

automl bayesian-optimization bbotk black-box-optimization cran gaussian-process hpo hyperparameter hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 model-based-optimization optimization optimizer r r-package random-forest tuning

Last synced: 19 Dec 2024

https://github.com/nanxstats/stackgbm

🌳 Stacked Gradient Boosting Machines

automl catboost decision-trees ensemble-learning gbdt gbm gradient-boosting lightgbm machine-learning model-stacking xgboost

Last synced: 16 Nov 2024

https://github.com/yard1/hpbandster-sklearn

A scikit-learn wrapper for HpBandSter hyper parameter search.

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning python scikit-learn sklearn

Last synced: 08 Nov 2024

https://github.com/pprp/cvpr2022-nas-competition-track1-3th-solution

Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23

automl cvpr2022 icassp23 neural-architecture-search workshop-materials

Last synced: 04 Dec 2024

https://github.com/oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

ai automated-machine-learning automl automlx classification data-science explainability fairness fairness-ai hyperparameter-optimization interpretability machine-learning machine-learning-explainability mlx oracle python regression timeseries-forecasting tuning unsupervised-anomaly-detection

Last synced: 11 Nov 2024

https://github.com/amanpriyanshu/dp-hyperparamtuning

DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.

automl hyperparameter-optimization machine-learning pytorch reinforcement-learning

Last synced: 28 Oct 2024

https://github.com/ksachdeva/scikit-nni

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

automl hyperparameter-search hyperparameters neural-network-intelligence nni scikit-learn scikit-learn-api sklearn sklearn-library tool

Last synced: 10 Oct 2024

https://github.com/outsorcerer/pocket-automl-android-tutorial

Pocket AutoML: Tutorial for Creating an Android App for Image Classification with Deep Learning

android automl computer-vision deep-learning deep-learning-tutorial tensorflow tensorflow-examples tensorflow-lite tensorflow-tutorials tutorial

Last synced: 10 Oct 2024

https://github.com/mlr-org/mlr3hyperband

Successive Halving and Hyperband in the mlr3 ecosystem

automl bbotk hyperband hyperparameter-tuning machine-learning mlr3 optimization r tune tuning

Last synced: 06 Nov 2024

https://github.com/dunnkers/fseval

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

automl benchmarking benchmarking-framework benchmarks feature-rankers feature-ranking feature-selection hydra machine-learning python scikit-learn wandb

Last synced: 07 Nov 2024

https://github.com/MindSetLib/Insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning

Last synced: 27 Nov 2024

https://github.com/kulbachcedric/evoautoml

automl data-science incremental-learning machine-learning online-learning python

Last synced: 13 Nov 2024

https://github.com/vida-nyu/alpha-automl

Alpha-AutoML is a Python library for automatically generating end-to-end machine learning pipelines.

automl data-science machine-learning python

Last synced: 24 Nov 2024

https://github.com/nrl-ai/p8hub

Private AI Hub (P8Hub) - Host and use your own AI Services. Keep everything simple and private.

ai automl chatbot chatgpt containerized docker docker-ai-ml docker-cli docker-compose docker-ml genai gpt llm ml nocode ocr platform tts

Last synced: 31 Oct 2024

https://github.com/codelibs/fione

Fione is Enterprise AI Platform

ai automl data-science machine-learning

Last synced: 29 Nov 2024

https://github.com/accurat/ackeras

AutoML library for Accurat, based on AutoKeras and Scikit-Learn.

automl keras python3

Last synced: 14 Oct 2024

https://github.com/herilalaina/mosaic_ml

AutoML with MCTS

automl hyperparameter-optimization pipeline-configuration

Last synced: 17 Nov 2024

https://github.com/aleximb/automl-streams

AutoML framework for implementing automated machine learning on data streams

automl data-streams scikit-learn

Last synced: 27 Oct 2024

https://github.com/mlr-org/mlr3tuningspaces

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

automl hyperparameter-tuning machine-learning mlr3 r r-package tune tuning

Last synced: 06 Nov 2024

https://github.com/gabeweiss/google-sorting-demo

Source code (Python, Node.js and Java) for a demo we built which has been shown at a number of conferences, including IoT Solutions World Congress in Barcelona, Google Cloud Next 2019 and Google I/O 2019. Using the Coral Dev Board we show incredible fast machine learning on the edge with minimal power consumption.

automl coral demo machine-learning

Last synced: 29 Oct 2024

https://github.com/dem108/amlworkshop-iotedge-devops

This repo has some proposed agenda for Azure Machine Learning related hands-on workshops.

automl azure azuremachinelearning azureml devops handson iot iotedge mlops workshop

Last synced: 08 Nov 2024

https://github.com/aws-samples/automl-pipeline-with-autogluon-sagemaker-lambda

A code-free AutoML pipeline with AutoGluon, Amazon SageMaker, and AWS Lambda.

autogluon automl lambda python sagemaker

Last synced: 11 Nov 2024

https://github.com/dkurt/openvino_efficientdet

EfficientDet with Intel OpenVINO

automl efficientdet google intel openvino

Last synced: 09 Jan 2025

https://github.com/tslu1s/atlantic

Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning

automation automl automl-pipeline data-preprocessing data-science feature-selection label-encoder machine-learning onehot-encoder predictive-maintenance predictive-modeling preprocessing-pipeline python scikit-learn

Last synced: 13 Oct 2024

https://github.com/torkamanilab/zoish

Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly

automl data-science feature-engineering feature-selection machine-learning python scikit-learn

Last synced: 18 Jan 2025

https://github.com/ozguraslank/flexml

Easy-to-use and flexible AutoML library for Python

automl data-science machine-learning python scikit-learn

Last synced: 10 Oct 2024

https://github.com/arafattehsin/sentimentanalyzer

This repo contains the source code of SentimentAnalyzer. It's an on-device (offline) open-source library to find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiment. Powered by ML.NET

automl dotnet hacktoberfest machine-learning mlnet sentiment-analysis

Last synced: 25 Nov 2024

https://github.com/kennethleungty/credit-card-fraud-detection-autoxgb

Utilizing AutoXGB for Credit Card Financial Fraud Detection

automl autoxgb creditcard detection finance financial fraud fraudulent xgb xgboost

Last synced: 22 Nov 2024

https://github.com/skblaz/autobot

An autoML for explainable text classification.

automl automl-algorithms automl-experiments classification data-mining data-science distributed-computing ensemble-learning evolutionary-algorithms machine-learning multimodal-learning natural-language-processing nlp python representation-learning sparse-matrices text-classification transfer-learning transformers-models

Last synced: 17 Dec 2024

https://github.com/zackakil/automl-vr

Project assets for building TF Lite models to run on Oculus Quest with Unity and Google AutoML Object Detection.

automl google-cloud machine-learning machine-vision object-detection oculus-quest tensorflow tflite unity vr

Last synced: 13 Nov 2024

https://github.com/mahdihosseini/conet

Channel Optimization for Convolutional Neural Networks [ICCV2021]

automl convolutional-neural-networks deep-learning neural-architecture-optimization

Last synced: 24 Nov 2024

https://github.com/sintel-dev/zephyr

https://dtail.gitbook.io/zephyr/

automl machine-learning wind-energy

Last synced: 14 Nov 2024

https://github.com/mystery2828/playwithml

A project where we can try to experiment with our dataset and try it on different models. This is not exactly an AutoML. This is just for fun.

automl heroku machine-learning machine-learning-algorithms pandas python3 sklearn streamlit

Last synced: 11 Oct 2024

https://github.com/adrienc21/vulpes

Vulpes: Test many classification, regression models and clustering algorithms to see which one is most suitable for your dataset

automl data-analysis data-science machine-learning models package python scikit-learn statistics

Last synced: 18 Nov 2024

https://github.com/albarsil/geneticml

A simple and lightweight genetic algorithm for optimization of any machine learning model

automl data-science genetic-algorithm machine-learning

Last synced: 14 Oct 2024

https://github.com/mainro/xgbtune

a library to tune xgboost models

automl automl-algorithms gradient-boosting hyperparameter-optimization hyperparameter-tuning machine-learning parameter-tuning tuning-parameters xgboost

Last synced: 07 Nov 2024

https://github.com/ultmaster/acenas

Open source implementation of AceNAS: https://arxiv.org/abs/2108.03001

automl nas

Last synced: 18 Oct 2024

https://github.com/epistasislab/alzkb

adsp ag066833 aiml alzheimer alzheimers alzheimers-disease automl nia u01ag066833

Last synced: 16 Nov 2024

https://github.com/lai-bluejay/diego

Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic algorithms for automated machine learning. Inspired by [Fast.ai](https://github.com/fastai/fastai).

automl autosklearn bayesian-optimization generation-algorithms hyperparameter-optimization machine-learning scikit-learn

Last synced: 14 Oct 2024

https://github.com/aravindvnair99/spot-the-hole

Fully autonomous and intelligent platform to detect, monitor and manage potholes issues. An end-to-end system with a PWA front-end for users to report potholes and government authorities to track and manage them.

automl busboy cookie-parser ejs ejs-express express firebase firebase-auth firebase-authentication firebase-firestore firebase-functions firebase-hosting firebase-storage gcp hacktoberfest potholes pwa vader vader-sentiment-analysis vadersentiment

Last synced: 01 Nov 2024

https://github.com/jmaczan/text-to-ml

Homebrew AutoML using natural text. Like HuggingGPT + LangChain + type inference

automl deep-learning huggingface hugginggpt machine-learning python

Last synced: 07 Nov 2024

https://github.com/zackakil/lazy-ways-to-build-ml-apps

A collection of lazy demos showing off how Google Cloud can be used to quickly build ML apps.

automl colab-notebook demos google-cloud lazy machine-learning ml

Last synced: 13 Nov 2024

https://github.com/codelibs/docker-fione

Docker for Fione

ai automl data-science machine-learning

Last synced: 29 Nov 2024

https://github.com/aayusharora/aftershoot

An AI to filter technically bad photos #AndroidDevChallenge

androiddevchallenge automl computer-vision photographers

Last synced: 14 Oct 2024

https://github.com/bhattbhavesh91/auto-sklearn-tutorial

Small tutorial on auto-sklearn which is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

auto-ml auto-sklearn automl data-science machine-learning python tutorial

Last synced: 16 Nov 2024

https://github.com/bartekpog/modelcreator

Simple python package for creating predictive models

automl estimator machine-learning model-selection package predictive-modeling python sklearn

Last synced: 10 Oct 2024

https://github.com/h2oai/wave-h2o-automl

Wave App for H2O AutoML

automl h2o h2o-automl h2o-wave h2oai

Last synced: 06 Nov 2024

https://github.com/jianzhnie/machine_learning_notes

工作学习笔记

automl deep-learning machine-learning

Last synced: 10 Oct 2024

https://github.com/trykatchup/ml-iot-malware-analysis

Machine Learning models for IoT traffic malware detection. (Cybersecurity - Alma Mater Studiorum - University of Bologna)

automl automl-experiments cybersecurity iot iot23 machine-learning random-forest svm

Last synced: 13 Oct 2024

https://github.com/stefan-schroedl/molecule_classification

"Auto-sklearn for chemistry" - train and run machine-learned classifiers for molecular classification tasks.

automatic automl cheminformatics chemistry chemoinformatics hyperparameter-optimization machine-learning molecule python rdkit scikit-learn

Last synced: 16 Jan 2025

https://github.com/bcebere/elastic-surv

Survival analysis for Big Data

automl bigdata coxph deephit elasticsearch hyperband survival-analysis

Last synced: 14 Nov 2024

https://github.com/littlelittlecloud/auto-machinelearning

Provides easy API to create and train sweepable pipeline for ML.Net over a group of pre-defined paramaters and trainers

automated-machine-learning automl machine-learning machinelearning-csharp mlnet

Last synced: 13 Nov 2024

https://github.com/kingabzpro/intro-to-autoxgb

Creating guide for AutoXGB which includes training and running web server.

automl beginner fastapi guide optuna xgboost

Last synced: 17 Nov 2024

https://github.com/h2oai/h2o-automl-paper

H2O AutoML paper

automl benchmarks machine-learning

Last synced: 06 Nov 2024

https://github.com/zoranpandovski/automl-actions

GitHub Action as an AutoML Tool using MindsDB. :wrench: :bear: :chart_with_downwards_trend:

automl automl-action github-action-ml github-actions machine-learning mindsdb

Last synced: 10 Dec 2024

https://github.com/tole-k/turbo-ml

Library providing all necessary tools to use automatically adjusted Machine Learning techniques. We aim to simplify the process of user input to maximum.

artificial-intelligence automl library machine-learning optimization python scikit-learn

Last synced: 15 Nov 2024

https://github.com/westurner/house_prices

ames-housing automl kaggle-competition kaggle-house-prices machine-learning scikit-learn tpot

Last synced: 12 Nov 2024

https://github.com/superchordate/storyteller

AutoML R framework functions for quickly finding stories from data.

automl eda exploratory-data-analysis r

Last synced: 04 Dec 2024

https://github.com/mahdihosseini/conetv2

Efficient Auto-Channel Size Optimization for CNNs [ICMLA2021]

automl convolutional-neural-networks deep-learning hyperparameter-optimization neural-architecture-optimization

Last synced: 24 Nov 2024

https://github.com/yashkant/enas-quantized-nets

Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.

automl enas keras neural-architecture-search quantized-neural-networks tensorflow

Last synced: 10 Nov 2024

https://github.com/sapuri/yolo2automl

Convert a YOLO format file to AutoML format for Cloud AutoML Vision Object Detection.

automl python

Last synced: 10 Dec 2024

https://github.com/navdeep-g/sdss-h2o-automl

Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA

automl h2o h2o-automl machine-learning python r

Last synced: 06 Nov 2024

https://github.com/mostafa-wael/azure-automl-sdk-guide-for-beginners

Beginner guide on how to run your first AutoML project on Azure using the Python SDK!

automl azure nlp

Last synced: 21 Nov 2024

https://github.com/kpriyanshu256/kagglesnippets

Useful code snippets

automl competitions computer-vision kaggle machine-learning ml nlp python3

Last synced: 28 Nov 2024

https://github.com/lennartpurucker/populationbasedqdo-posthocensembleselectionautoml

Repository for Reproducibility for the Paper: "Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML"

automated-machine-learning automl ensemble-learning ensembles machine-learning post-hoc-ensembles reproducibility

Last synced: 19 Jan 2025

https://github.com/jcm-ai/standard-bank-data-science-virtual-experience-programme

This repository has all of the assignments I had to do for the Standard Bank Data Science Virtual Experience Program. 📉👨‍💻📊📈

automl business-analysis business-solutions client-communication data-analysis data-mining data-science data-visualization machine-learning machine-learning-algorithms matplotlib-pyplot model-evaluation model-interpretation power-point presentation-slides programming-language python3 seaborn sql statical-analysis

Last synced: 09 Jan 2025

https://github.com/lennartpurucker/cma-es-posthocensemblingautoml

Repository for Reproducibility for the Paper: "CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure".

automated-machine-learning automl ensemble-learning ensembles machine-learning post-hoc-ensembles reproducibility

Last synced: 19 Jan 2025

https://github.com/lugq1990/automl-engine

3 lines of code for automate machine learning for classification and regression

auto-ml automl machine-learning random-forest scikit-learn xgboost

Last synced: 27 Oct 2024

https://github.com/jeremiegince/automlpy

This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model.

automl deep-learning gaussian-processes grid-search-hyperparameters machine-learning multiprocessing python3 pytorch random-search sklearn tensorflow

Last synced: 19 Nov 2024

https://github.com/yashkant/pnas-binary-nets

Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.

automl binarized-neural-networks keras neural-architecture-search tensorflow-experiments

Last synced: 21 Dec 2024

https://github.com/sammybams/payment-fraud-detection-azure-automl

Online Payment/Transaction Fraud detection model built with Azure AutoML

automl azure azure-app-service fraud-detection machine-learning python streamlit

Last synced: 02 Jan 2025

https://github.com/altescy/automlcli

Simple AutoML command line tool for tabular data

automl cli mlflow python

Last synced: 27 Nov 2024

https://github.com/inovex/autotim

Train and store machine learning models for the classification of timeseries.

automl timeseries

Last synced: 15 Dec 2024

https://github.com/bhattbhavesh91/tpot-tutorial

TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. In this video, I'll show you how you can use TPOT for Classification.

automation automl data-science hyperparameter-optimization machine-learning pipeline-optimization python tpot tree video

Last synced: 17 Jan 2025

https://github.com/bhattbhavesh91/auto-ts-tutorial

Tutorial on Auto_TS : Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code

auto-timeseries automl autosklearn demo time-series time-series-analysis tutorial

Last synced: 17 Jan 2025

https://github.com/bhattbhavesh91/autokeras-regression

AutoKeras is an open-source library for performing AutoML for deep learning models based on Keras.In this video, I'll show you how you can use AutoKeras for Regression.

autokeras automl regression video

Last synced: 16 Nov 2024

https://github.com/alankrantas/colab-python-cookbooks

Experiments of AutoML/data science packages and solving Kaggle competition in Google Colaboratory or DevContainer/Codespace

automatic-machine-learning automl codespace colab-notebook colaboratory data-science datascience deep-learning devcontainer jupyter-notebook kaggle kaggle-competition machine-learning neural-network python python3

Last synced: 11 Nov 2024

https://github.com/kalifou/data-driven-initialization-to-search

A data-driven initialization to population-based search strategies

automl evolutionary-algorithms population-based-optimization search

Last synced: 13 Jan 2025

https://github.com/eurobios-mews-labs/palma

This library aims at providing tools for an automatic machine learning approach. As many tools already exist to establish one or the other component of an AutoML approach, the idea of this library is to provide a structure rather than to implement a complete service.

automl automl-api automl-pipeline data-leakage drift-detection machine-learning machine-learning-algorithms python sklearn