GitHub topics: automl-experiments
nidhaloff/igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
Language: Python - Size: 18.8 MB - Last synced at: about 18 hours ago - Pushed at: about 2 years ago - Stars: 3,116 - Forks: 179
david-thrower/cerebros-core-algorithm-alpha
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
Language: Jupyter Notebook - Size: 56.6 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 27 - Forks: 3
SkBlaz/autobot
An autoML for explainable text classification.
Language: HTML - Size: 11.5 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 10 - Forks: 4
SaintAngeLs/CS-MINI-2024Z-AutoML_project_1
Analyze the tunability of machine learning models with Grid Search, Random Search, and Bayesian Optimization. This project explores hyperparameter tuning methods on diverse datasets, comparing efficiency, stability, and performance. Featuring Random Forest, XGBoost, Elastic Net, and Gradient Boosting.
Language: Python - Size: 9.16 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
naszilla/nas-encodings
Encodings for neural architecture search
Language: Python - Size: 108 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 29 - Forks: 5
zgornel/knowledge-driven-automl
Knowledge-driven AutoML (experiments)
Language: Julia - Size: 151 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0
TryKatChup/ML-IOT-malware-analysis
Machine Learning models for IoT traffic malware detection. (Cybersecurity - Alma Mater Studiorum - University of Bologna)
Language: Jupyter Notebook - Size: 8.41 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 1
akashp1712/pythonizr
Pythonizr - Web-based tool to generate Machine Learning boilerplate code
Language: CSS - Size: 2.58 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 2
Javihaus/Auto-ML-app-with-dash
Auto ML application app with dash. Classification and Regression algorithms.
Language: Python - Size: 1.46 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
dimikara/Survival-Prediction-of-Patients-with-Heart-Failure
Training two models, one with with AutoML & one with HyperDrive, compare, and deploy the best model as a service - A Machine Learning Engineer Project
Language: Jupyter Notebook - Size: 5.85 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 4
rjrahul24/Prediction-of-Insurance-Payments-for-Surgical-Procedures
Repository part of Columbia University's MS in Data Science Capstone Project. This repository solves attempts to solve the problem of predicting commercial insurance payments for surgical procedures
Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 4
matheusmmmp/autoML-pyCaret
AutoML using PyCaret for credit dataset
Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
FernandoLpz/TPOT-Optimal-Pipeline-Searching
This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.
Language: Python - Size: 198 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0
lorainemg/experiments-thesis
Experiments of my bachelor thesis in Computer Science titled Una estrategia de Meta-Learning para flujos genéricos de AutoML
Language: Python - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
IBMDeveloperMEA/Artelligence2021 Fork of Anam-Mahmood/Unlock-the-Power-of-Machine-Learning-in-Virtual-Assistants-to-automate-Loan-Applications
Within a bank’s loan department, a customer’s application undergoes a lot of scrutiny before a decision of approval or rejection is made. The evaluation process can take a while, which opens the possibility of the bank losing a potential customer. To reduce the decision-making time and to increase the accuracy of the decisions being made, we can now use machine learning solutions. This allows customer representative to make predictions about a loan application quickly.
Size: 92.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1
dinaabdulrasoul/Bank-Marketing-Campaigns-with-Deployment
This project aims to deploy and consume a machine Learning Model generated using AutoML on Azure Machine Learning Studio.
Language: Jupyter Notebook - Size: 7.54 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 3
poulrohan23/Credit_card_fraud_detection
Credit Card Fraud detection system using Kaggle dataset using Azure Automated Machine Learning
Language: Jupyter Notebook - Size: 216 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
AlexImb/automl-experiments
🔬AutoML experiments for research and benchmarking purposes
Language: Python - Size: 31.1 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
