SumanthReddyKaliki/Artificial_Intelligence_Tutorials

This repository will have all the necessary tutorials to help you learn Data Science, Machine Learning, Deep Learning and AI fundamentals

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AnruthaKamal/Road-Traffic-Severity-Classification

RoadWatch is a project dedicated to forecasting road accident severity, utilizing state-of-the-art machine learning techniques. Employing the robust Extremely Randomized Trees algorithm and fine-tuning hyperparameters with Grid Search, RoadWatch aims to revolutionize road safety predictions.

Language: Jupyter Notebook - Size: 1.97 MB - Last synced: about 8 hours ago - Pushed: about 8 hours ago - Stars: 0 - Forks: 0

AgileRL/AgileRL

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

Language: Python - Size: 53.4 MB - Last synced: about 5 hours ago - Pushed: 1 day ago - Stars: 501 - Forks: 38

IBM/lale

Library for Semi-Automated Data Science

Language: Python - Size: 40.4 MB - Last synced: about 11 hours ago - Pushed: 1 day ago - Stars: 324 - Forks: 82

Chandrahasd/exp_manager

A simple python interface for running multiple parallel instances of a python program (e.g. gridsearch).

Language: Python - Size: 18.6 KB - Last synced: about 17 hours ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

joaocarvoli/notebooks-drfc-manager

An easy way to enhance DeepRacer model training using DRfC functionalities through Jupyter Notebooks. Reproducing some core functionalities provided by AWS SageMaker Notebook

Size: 826 KB - Last synced: 4 minutes ago - Pushed: about 21 hours ago - Stars: 0 - Forks: 0

h-0-0/slune

A super simplistic way to perform hyperparameter tuning (and other things!) on SLURM. Made to be quick and easy to use and build on! and to get your jobs done faster.

Language: Python - Size: 265 KB - Last synced: about 6 hours ago - Pushed: 1 day ago - Stars: 5 - Forks: 0

google/vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Language: Python - Size: 4.04 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 1,178 - Forks: 70

polyaxon/hypertune

A library for performing hyperparameter optimization

Language: Python - Size: 118 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 62 - Forks: 8

mauluddin12z/Price-prediction-for-used-car-using-RF-GA

Price prediction for used car using Random Forest and Genetic Algorithm for Hyperparameter Tuning

Language: Jupyter Notebook - Size: 1.9 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 1 - Forks: 0

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 147 MB - Last synced: about 10 hours ago - Pushed: 1 day ago - Stars: 1,016 - Forks: 217

T-Mohamed-Shafeek/VGG16-for-Malware-Classification

This is a Research project which introduces an AI approach which is Deep Neural Networks in this case, to detect and classify different malwares belonging to various families represented as images.

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google-research/hyperbo

Pre-trained Gaussian processes for Bayesian optimization

Language: Python - Size: 133 KB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 71 - Forks: 4

BCG-X-Official/facet

Human-explainable AI.

Language: Jupyter Notebook - Size: 50.5 MB - Last synced: 2 days ago - Pushed: 4 months ago - Stars: 498 - Forks: 46

skypilot-org/skypilot

SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

Language: Python - Size: 121 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 5,717 - Forks: 399

nidhikh477/Image-classification

This is a machine learning (Image Classifier) web app, that lets the user upload an image of a sports celebrity (Lionel Messi, Maria Sharapova, Roger Federer, Serena Williams, Virat Kohli) and predicts whose image is uploaded.

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razamehar/Predicting-Bank-Customer-Churn

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.

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Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

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mlr-org/mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

Language: R - Size: 7.13 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 51 - Forks: 5

glambengco/Classification-of-TikTok-Videos-Machine-Learning-Project

The main objective of this project is to develop a machine learning model to predict whether videos reported by users presented claims or opinions to improve triaging process of videos for further review by human moderators.

Language: Jupyter Notebook - Size: 1.63 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0

amir-9473/Hyperparameter-Tuning-of-Machine-Learning

Hyperparameter Optimization for Pima Indians Diabetes Machine Learning Classification using Optuna in Python.

Language: Jupyter Notebook - Size: 562 KB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 1 - Forks: 0

LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Language: Jupyter Notebook - Size: 235 KB - Last synced: 4 days ago - Pushed: over 1 year ago - Stars: 1,255 - Forks: 298

telekom/mltb2

Machine Learning Toolbox 2

Language: Python - Size: 3.51 MB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 8 - Forks: 2

ferneutron/keras-tuner

This repository contains demo implementations for using keras tuner to tune hyperparameters of models in keras and scikitlearn. Additionally, it includes how to generate the visualization in Tensorboard.

Language: Python - Size: 429 KB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 2 - Forks: 0

AtharvaKulkarniIT/ParkinsonsTelemonitoringInsights

This R-based data science project on the UCI Parkinson's dataset employs machine learning (Decision tree, Random Forest, SVM, XGBoost) with a focus on hyperparameter tuning and feature selection. This repository showcases insights into Parkinson's disease prediction using effective data science practices.

Language: R - Size: 1.24 MB - Last synced: 5 days ago - Pushed: 6 days ago - Stars: 3 - Forks: 1

naity/protein-transformer

Implement, train, tune, and evaluate a transformer model for antibody classification with this step-by-step code.

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NipunRathore/NLP-Transformers-from-Scratch

Pre-training a Transformer from scratch.

Language: Jupyter Notebook - Size: 33.6 MB - Last synced: 7 days ago - Pushed: 8 days ago - Stars: 1 - Forks: 0

oskar-j/awesome-auto-ml

Awesome list of AutoML frameworks - curated by @oskar-j

Size: 25.4 KB - Last synced: 4 days ago - Pushed: over 1 year ago - Stars: 21 - Forks: 7

onepanelio/onepanel

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

Language: Go - Size: 29.4 MB - Last synced: about 19 hours ago - Pushed: about 1 year ago - Stars: 705 - Forks: 70

sbornaz/P5-Segmentez-des-clients-d-un-site-e-commerce

Project 5 of AI Engineer Program with OpenClassrooms.

Language: Jupyter Notebook - Size: 9.55 MB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 0 - Forks: 0

MIND-Lab/OCTIS

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Language: Python - Size: 168 MB - Last synced: 6 days ago - Pushed: 5 months ago - Stars: 688 - Forks: 91

microsoft/nni

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

Language: Python - Size: 127 MB - Last synced: 8 days ago - Pushed: 9 days ago - Stars: 13,778 - Forks: 1,805

MLopez-Ibanez/irace

Iterated Racing for Automatic Algorithm Configuration

Language: R - Size: 24.5 MB - Last synced: about 13 hours ago - Pushed: about 14 hours ago - Stars: 53 - Forks: 13

manognachowdary7/Bike-Rental-Prediction

Regression problem

Language: Jupyter Notebook - Size: 861 KB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 0 - Forks: 0

gopiashokan/Rental-Property-Price-Prediction-using-Machine-Learning

Empower your real estate decisions with our data-driven model, delivering precise rental predictions for landlords and comprehensive insights for tenants in a dynamic market landscape.

Language: Jupyter Notebook - Size: 7.19 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 1 - Forks: 0

awslabs/Renate

Library for automatic retraining and continual learning

Language: Python - Size: 6.29 MB - Last synced: 8 days ago - Pushed: 4 months ago - Stars: 264 - Forks: 7

aggarwalpiush/Hyperparameter-Optimization-Tutorial

Hyperparameter-Optimization-Tutorial

Language: Jupyter Notebook - Size: 476 KB - Last synced: 10 days ago - Pushed: almost 6 years ago - Stars: 3 - Forks: 0

noobknights/emosong

A web app lets users listen to songs based on real-time emotion detection through a mobile camera or web camera.

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ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.2 MB - Last synced: 9 days ago - Pushed: 2 months ago - Stars: 313 - Forks: 36

klieret/ray-tune-slurm-demo

Testing ray tune with slurm batch submission and optuna and wandb

Language: Python - Size: 235 KB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 5 - Forks: 1

klieret/ray-tune-stoppers-contrib

Additional stoppers for ray tune

Language: Python - Size: 117 KB - Last synced: 9 days ago - Pushed: 10 days ago - Stars: 1 - Forks: 0

mlr-org/bbotk

Black-box optimization framework for R.

Language: R - Size: 20.2 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 19 - Forks: 9

HunterMcGushion/hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Language: Python - Size: 7.27 MB - Last synced: 8 days ago - Pushed: over 3 years ago - Stars: 702 - Forks: 103

Techtonique/GPopt

Bayesian optimization using Gaussian Process regression (Python)

Language: HTML - Size: 6.5 MB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 3 - Forks: 0

praj2408/Machine-Learning-Notes

Our curated repository compiles comprehensive notes covering various machine learning concepts, algorithms, and applications, providing a structured resource for both beginners and experienced practitioners to deepen their understanding and proficiency in the field.

Language: Jupyter Notebook - Size: 43.6 MB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 1 - Forks: 1

Ninad077/Machine_Learning-Support_Vector_Machine_-SVM-_algorithm

Content: Support Vector, Hyperplane, Hyperparameter, Non-linearly separable data, Scaling

Language: Jupyter Notebook - Size: 1.25 MB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 0 - Forks: 0

Dishant-Sharma/Data_Science_Projects

This repository comprises of the projects and assignments that i have completed during my tenure at Great Lakes for the course program PGP-AIML. This repository also includes the lab work thatwas done during the classes and even those that were given as assessments.

Language: Jupyter Notebook - Size: 15.4 MB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 3 - Forks: 10

awslabs/syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Language: Python - Size: 13.5 MB - Last synced: 8 days ago - Pushed: 12 days ago - Stars: 365 - Forks: 49

holgern/scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

Language: Python - Size: 19.7 MB - Last synced: 4 days ago - Pushed: about 2 months ago - Stars: 5 - Forks: 1

Amr-Abdellatif/HyperParameters-Tuning-using-Optuna---PyTorch

starter pack for Hyperparameters Tuning using OPTUNA - PyTorch model

Language: Jupyter Notebook - Size: 9.77 KB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 0 - Forks: 0

KrishArul26/Air-Quality-Index-prediction_with_deployment

India is one of the countries with the highest air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and the India-Bangalore region. Also, the data was collected through web scraping with the help of Beautiful Soup.

Language: Jupyter Notebook - Size: 17 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 7 - Forks: 1

DLR-RM/rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Language: Python - Size: 3.72 MB - Last synced: 14 days ago - Pushed: 15 days ago - Stars: 1,787 - Forks: 469

Purushothaman-natarajan/Yoga_Pose-Image-Classification

This repository offers a robust solution for multilabel image classification. Utilizing advanced neural networks like VGG16, VGG19, ResNet50, InceptionV3, DenseNet121, and MobileNetV2, the project achieves precise classification across 107 diverse categories.

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Alex-Lekov/AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

Language: Python - Size: 25.9 MB - Last synced: 12 days ago - Pushed: 8 months ago - Stars: 207 - Forks: 42

Tanwar-12/AUTO-MOBILE-PRICE-PREDICTION

THE AIM IS TO PREDICT THE PRICE OF CAR USING ALL THE GIVEN FEATURES.

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bhattbhavesh91/hyperopt-sklearn-demo

Hyper-parameter optimization for sklearn

Language: Jupyter Notebook - Size: 50.8 KB - Last synced: 16 days ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 3

riccardoprosdocimi/ml-predictive-maintenance

This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.

Language: Jupyter Notebook - Size: 3.7 MB - Last synced: 15 days ago - Pushed: 16 days ago - Stars: 0 - Forks: 1

eigenein/rust-hyperopt

Tree-of-Parzen-estimators hyperparameter optimization

Language: Rust - Size: 108 KB - Last synced: 16 days ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

Ashutosh27ind/CIFAR-10_ImageClassificationusingCNN

In this project we will build multiple CNN models for CIFAR-10 Image Classification

Language: Jupyter Notebook - Size: 421 KB - Last synced: 16 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

lettergram/sentence-classification

Sentence Classifications with Neural Networks

Language: Python - Size: 105 MB - Last synced: 16 days ago - Pushed: about 1 year ago - Stars: 235 - Forks: 35

naiborhujosua/Flight-Price-Prediction

This project is used to predict flight airfare. I use Flight Price Dataset provided by Kaggle Flight Price

Language: Jupyter Notebook - Size: 1.07 MB - Last synced: 16 days ago - Pushed: over 2 years ago - Stars: 4 - Forks: 3

yashrajjain726/Deep-Learning-Hands-On-Practice

Some Topic Based Deep Learning Task

Language: Jupyter Notebook - Size: 160 MB - Last synced: 16 days ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

Language: Scala - Size: 3.23 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 71 - Forks: 3

mlr-org/mlr3tuningspaces

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

Language: R - Size: 4.94 MB - Last synced: 17 days ago - Pushed: 2 months ago - Stars: 12 - Forks: 2

dardenkyle/Credit-Card-Users-Churn-Prediction

Analyze the data and come up with a predictive model to determine if a customer will leave the credit card services or not and the reason behind it

Language: Jupyter Notebook - Size: 1.79 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 0 - Forks: 0

fhswf/MLPro-Int-Optuna

Language: Python - Size: 2.09 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 1 - Forks: 0

fhswf/MLPro-Int-Hyperopt

MLPro: Integration Hyperopt

Language: Python - Size: 2.07 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 1 - Forks: 0

DataCanvasIO/Hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Language: Python - Size: 17.8 MB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 261 - Forks: 40

araffin/rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Language: Python - Size: 367 MB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 1,112 - Forks: 205

lucidfrontier45/optuna-async-helper

A Helper Library to run asynchronous optimization with Optuna

Language: Python - Size: 13.7 KB - Last synced: 19 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

Hasnat-Aarif-Aslam/Pipelining-How-to-Create-Pipelines-in-Machine-Learning

Pipeline creation using Pipeline and make_pipeline along with ColumnTransformer and an Estimator

Language: Jupyter Notebook - Size: 136 KB - Last synced: 18 days ago - Pushed: 19 days ago - Stars: 0 - Forks: 0

scikit-optimize/scikit-optimize 📦

Sequential model-based optimization with a `scipy.optimize` interface

Language: Python - Size: 8.99 MB - Last synced: 18 days ago - Pushed: 3 months ago - Stars: 2,725 - Forks: 544

RohitMacherla3/customer-churn-prediction

This project aims to aims to predict the customer churn (likelihood of a customer leaving the company) for a telecom company using a variety of ML classification algorithms.

Language: Jupyter Notebook - Size: 7.4 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 0 - Forks: 1

cankocagil/Neural-Networks

Neural Networks, Deep Learning, Computer Vision, Natural Language Processing, Python

Language: Jupyter Notebook - Size: 25.3 MB - Last synced: 19 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

alexsuakim/MachineLearning

Machine learning model implementations from scratch in Python

Language: Jupyter Notebook - Size: 10.4 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 0 - Forks: 0

antbartash/australian_rain

HPO for DNN and other ML algorithms

Language: Jupyter Notebook - Size: 9.63 MB - Last synced: 20 days ago - Pushed: 20 days ago - Stars: 0 - Forks: 0

makaveli10/CourseraDeepNN

Coursera Deep Learning Specialization Repository

Language: Jupyter Notebook - Size: 3.57 MB - Last synced: 20 days ago - Pushed: about 5 years ago - Stars: 0 - Forks: 1

ssisOneTeam/Korean-Embedding-Model-Performance-Benchmark-for-Retriever

Korean Sentence Embedding Model Performance Benchmark for RAG

Language: Jupyter Notebook - Size: 5.31 MB - Last synced: 21 days ago - Pushed: 21 days ago - Stars: 12 - Forks: 3

kiritoInd/MachineLearning-Coursera-Course-Codes

Tools for machine learning from two courses machine learning specialization and deep learning specialization

Language: Jupyter Notebook - Size: 571 MB - Last synced: 22 days ago - Pushed: 23 days ago - Stars: 7 - Forks: 0

VicentePerezSoloviev/EDAspy

Estimation of Distribution algorithms Python package

Language: Jupyter Notebook - Size: 10 MB - Last synced: about 16 hours ago - Pushed: about 1 month ago - Stars: 40 - Forks: 7

NaquibAlam/TheMisfits

Language: Jupyter Notebook - Size: 1.08 MB - Last synced: 23 days ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

releaunifreiburg/QuickTune

[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

Language: Python - Size: 5.74 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 16 - Forks: 2

quality-attributes/optimization

Hyperparameter tuning for text categorization using differential evolution

Language: Python - Size: 59.6 KB - Last synced: 24 days ago - Pushed: 11 months ago - Stars: 1 - Forks: 0

quality-attributes/autoML-models

Differential Evolution algorithms configuration by iterated racing procedure

Language: Python - Size: 1.27 MB - Last synced: 24 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1

Chris96bal/ML_Classification

Spotify Classification Problem 2023

Language: Jupyter Notebook - Size: 732 KB - Last synced: 24 days ago - Pushed: 24 days ago - Stars: 0 - Forks: 0

Helmholtz-AI-Energy/propulate

Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Language: Python - Size: 7.47 MB - Last synced: 28 days ago - Pushed: 28 days ago - Stars: 28 - Forks: 5

Neuraxio/Neuraxle

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Language: Python - Size: 8.17 MB - Last synced: 5 days ago - Pushed: about 1 year ago - Stars: 597 - Forks: 59

logicalclocks/maggy

Distribution transparent Machine Learning experiments on Apache Spark

Language: Python - Size: 5.74 MB - Last synced: 25 days ago - Pushed: 3 months ago - Stars: 89 - Forks: 14

LGE-ARC-AdvancedAI/auptimizer

An automatic ML model optimization tool.

Language: Python - Size: 52.1 MB - Last synced: about 4 hours ago - Pushed: over 1 year ago - Stars: 199 - Forks: 29

wandb/wandb

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Language: Python - Size: 89.8 MB - Last synced: 25 days ago - Pushed: 25 days ago - Stars: 8,194 - Forks: 604

janprince/ml_stress_detection

Using physiological data to detect human stress levels

Language: Jupyter Notebook - Size: 59.6 KB - Last synced: 27 days ago - Pushed: about 2 years ago - Stars: 4 - Forks: 0

janprince/ml_housing_prices

Language: Jupyter Notebook - Size: 1.01 MB - Last synced: 27 days ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

mathewsrc/Operationalizing-an-AWS-ML-Project

This project SageMaker features to adjust, improve, configure, and prepare a image classification model for production-grade deployment.

Language: Jupyter Notebook - Size: 2.16 MB - Last synced: 10 days ago - Pushed: 11 months ago - Stars: 4 - Forks: 1

Yard1/hpbandster-sklearn

A scikit-learn wrapper for HpBandSter hyper parameter search.

Language: Python - Size: 125 KB - Last synced: 19 days ago - Pushed: over 1 year ago - Stars: 23 - Forks: 2

thomas-young-2013/mindware

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

Language: Python - Size: 63 MB - Last synced: 4 days ago - Pushed: over 2 years ago - Stars: 55 - Forks: 26

SannketNikam/Credit-Risk-Analysis

Credito - Credit Risk Analysis using XGBoost Classifier with RandomizedSearchCV for loan approval decisions.

Language: Jupyter Notebook - Size: 6.47 MB - Last synced: 29 days ago - Pushed: 11 months ago - Stars: 0 - Forks: 1

f-sod/MONN-2

MONN-2: updated Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Proteins

Language: Python - Size: 38.8 MB - Last synced: 30 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Lefteris-Souflas/Spark-Movies-Analytics

Utilizing Apache Spark & PySpark to analyze a movie dataset. Tasks include data exploration, identifying top-rated movies, training a linear regression model, and experimenting with Airflow.

Language: Jupyter Notebook - Size: 289 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

Zheng-Meng/Reservoir-Computing-and-Hyperparameter-Optimization

Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.

Language: MATLAB - Size: 19.4 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 5 - Forks: 0

jialincheoh/coursera-improving-deep-neural-networks

This is one of the modules titled "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" from Coursera Deep Learning Specialization.

Language: Jupyter Notebook - Size: 7.19 MB - Last synced: 25 days ago - Pushed: over 2 years ago - Stars: 8 - Forks: 3