antbartash/australian_rain

HPO for DNN and other ML algorithms

Language: Jupyter Notebook - Size: 9.63 MB - Last synced at: about 10 hours ago - Pushed at: about 11 hours ago - Stars: 0 - Forks: 0

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: 3.8 MB - Last synced at: 33 minutes ago - Pushed at: 6 days ago - Stars: 2,449 - Forks: 555

Node0/hypercortex

A TUI based LM Swiss army knife and analysis tool

Size: 16.6 KB - Last synced at: about 1 hour ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

alput122/DenseNet-Optuna-Hyperparameter

This repository provides a deep learning approach for classifying Alzheimer's disease using DenseNet architectures and Optuna for hyperparameter optimization. Explore the code and contribute to this important project on GitHub! 🐙✨

Language: Jupyter Notebook - Size: 7.7 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

skyocean/HyperLSTM-PBPM

LSTM HyperModels for outcome-oriented predictive business process monitoring with attribute encoding, hierarchical inputs, and imbalanced data and simultaneous events supports.

Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

sabin74/customer_churn_prediction

Predict whether a customer will churn (leave the service) based on their usage and demographic data using machine learning.

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ego-creator/hepmassClassification

Pipeline PySpark pour la classification de particules en physique des hautes énergies (dataset HEPMASS). Inclut le prétraitement distribué, l'entraînement de modèles (régression logistique, arbres de décision), l'évaluation et des visualisations clés. Optimisé pour Hadoop/Spark.

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halacoded/Hyperparameter-Tuning

Instead of checking every combination like Grid Search or picking randomly like Random Search, Optuna uses a smart method called Bayesian optimization. This means it learns from previous tries to find better settings faster.Part of CODED Data Science Bootcamp

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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 at: 3 days ago - Pushed at: 11 months ago - Stars: 14,199 - Forks: 1,817

jaydenth/Churn-Prediction

This is a School assignment, on churn prediction using scikit learn and traditional ML models

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mlr-org/bbotk

Black-box optimization framework for R.

Language: R - Size: 23.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 23 - Forks: 9

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 155 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1,167 - Forks: 235

wandb/wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Language: Python - Size: 173 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 9,931 - Forks: 743

mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

Language: R - Size: 13.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 25 - Forks: 1

Faiyadnub/Spaceship-Titanic

Spaceship Titanic project.

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

skypilot-org/skypilot

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

Language: Python - Size: 154 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 8,191 - Forks: 661

Gummala-vinaykumar/AWS-DeepRacer-Autonomous-Racing-Model

Developed an AWS DeepRacer model using Python & the PPO algorithm, leveraging TensorFlow to train & fine-tune a deep reinforcement learning model. Designed a custom reward function & optimized hyperparameters to improve policy learning & navigation performance. Utilized AWS infrastructure for scalable training & deployment.

Size: 21.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

dystaSatria/DenseNet-Optuna-Hyperparameter

This repository contains a comprehensive deep learning solution for Alzheimer's Disease Classification using state-of-the-art DenseNet architectures optimized with Optuna hyperparameter tuning. The project implements multiple DenseNet variants for classification of Alzheimer's disease stages from brain MRI images.

Language: Jupyter Notebook - Size: 7.7 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

syne-tune/syne-tune

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

Language: Python - Size: 10.6 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 406 - Forks: 53

automl/auto-sklearn

Automated Machine Learning with scikit-learn

Language: Python - Size: 121 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 7,851 - Forks: 1,303

AgileRL/AgileRL

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

Language: Python - Size: 60.3 MB - Last synced at: 7 days ago - Pushed at: 9 days ago - Stars: 771 - Forks: 63

anu-gtb/sleep_disorder_pred

Language: PowerShell - Size: 1.3 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Pythoniasm/espminer-optim

A CLI-based tuner that runs multi-objective optimization on your ESPminer.

Language: Python - Size: 2.15 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 16 - Forks: 2

kocharvishal/Spectral-Analysis-and-Mycotoxin-Prediction-in-Corn-Samples

Hyperspectral Corn Data Analysis & Mycotoxin Prediction

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Chetnas8/acaml-web-app

ACAML is an Adaptive Constraint-Aware AutoML web app built with Streamlit. It automatically selects the best model for regression or classification tasks using FLAML, displays performance metrics, and provides SHAP-based feature explanations. Empower users to run and interpret ML models easily.

Language: Python - Size: 443 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Helmholtz-AI-Energy/propulate

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

Language: Python - Size: 8.17 MB - Last synced at: 2 days ago - Pushed at: 5 days ago - Stars: 39 - Forks: 7

thieu1995/MetaSklearn

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

Language: Python - Size: 103 KB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 3 - Forks: 0

mlr-org/mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

Language: R - Size: 10.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 55 - Forks: 5

abdesemt/GBoost

A tool for Boosting Discord Servers

Size: 8.79 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

google-research/hyperbo

Pre-trained Gaussian processes for Bayesian optimization

Language: Python - Size: 194 KB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 91 - Forks: 8

saattrupdan/naturalselection 📦

A general-purpose pythonic genetic algorithm.

Language: Python - Size: 4.85 MB - Last synced at: 7 days ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 1

danial-hosseinpour/Machine-Learning-Projects

This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.

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determined-ai/determined

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Language: Go - Size: 198 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 3,142 - Forks: 364

ShovalBenjer/Power_Transform_Box-Cox_Supervised_ML

This project explores machine learning techniques, focusing on data preprocessing, model building, and evaluation. It includes data analysis, visualization, various algorithms, and performance comparison. Key topics: data cleaning, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.

Language: Jupyter Notebook - Size: 7.67 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 1

ppant/deeplearning.ai-notes

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Language: Jupyter Notebook - Size: 42.9 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 284 - Forks: 158

openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

Language: Scala - Size: 3.48 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 72 - Forks: 5

Adeleye-Emmanuel/Network-Intrusion-Detection

Built a dual-model intrusion detection system using the NSL-KDD dataset. The binary model detects normal vs. malicious traffic, while the multiclass model classifies attacks as DoS, Probe, R2L, or U2R. Applied advanced preprocessing, dimensionality reduction, and ensemble methods (XGBoost, LightGBM, SVM) with recall focused cross-validation

Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

AdityaSreevatsaK/The-Neural-Nexus

The Neural Nexus is a repository for exploring and showcasing neural network architectures. From foundational models like feedforward and convolutional networks to advanced techniques like transformers and generative models, it serves as a central hub for all things neural—your gateway to mastering deep learning and cutting-edge designs.

Language: Jupyter Notebook - Size: 328 MB - Last synced at: 6 days ago - Pushed at: 21 days ago - Stars: 1 - Forks: 0

davutbayik/socialmedia-ads-purchase-prediction

🎯 Social media ad purchase predictor using Streamlit and FastAPI — clean UI + real-time ML predictions!

Language: Jupyter Notebook - Size: 241 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

davutbayik/food-delivery-time-prediction

Food Delivery Time Prediction using Machine Learning Techniques

Language: Jupyter Notebook - Size: 49.2 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 3

okita871/determined

Build customized JSON and HCL Unmarshaler with Determined hcl, json

Language: Go - Size: 119 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

novianggita/Hyperparameter-Tuning

This repository contains a notebook that demonstrates how to perform hyperparameter tuning on various classification models using a binary classification dataset. The goal is to evaluate and improve model performance through systematic tuning.

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

klieret/wandb-offline-sync-hook

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

Language: Python - Size: 242 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 79 - 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 at: 2 days ago - Pushed at: over 2 years ago - Stars: 728 - Forks: 71

SherineTarek224/Credit_Score

This repo is for credit score classification based on financial and demographic data. using supervised machine learning algorithms

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 16 days ago - Pushed at: 16 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 at: 11 days ago - Pushed at: 11 months ago - Stars: 766 - Forks: 113

ML-GSAI/Scaling-Diffusion-Transformers-muP

Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".

Language: Python - Size: 5.59 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 18 - 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 at: 16 days ago - Pushed at: over 2 years ago - Stars: 1,293 - Forks: 304

amanchadha/coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Language: Jupyter Notebook - Size: 207 MB - Last synced at: 19 days ago - Pushed at: 29 days ago - Stars: 3,680 - Forks: 2,511

akshatkhatri/Student_academic_prediction_model

this project was inspired by Chapter 2 of Aurélien Géron's Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow, where he performs detailed analysis on the Housing dataset. Motivated by that, I explored and applied similar machine learning techniques on the Student Habits and Academic Performance dataset to predict exam scores.

Language: Jupyter Notebook - Size: 7.35 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

kubeflow/katib

Automated Machine Learning on Kubernetes

Language: Python - Size: 100 MB - Last synced at: 19 days ago - Pushed at: 26 days ago - Stars: 1,579 - Forks: 474

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: 8.16 MB - Last synced at: 16 days ago - Pushed at: about 1 month ago - Stars: 612 - Forks: 62

awslabs/Renate

Library for automatic retraining and continual learning

Language: Python - Size: 6.58 MB - Last synced at: 15 days ago - Pushed at: 8 months ago - Stars: 293 - Forks: 6

awslabs/adatune

Gradient based Hyperparameter Tuning library in PyTorch

Language: Python - Size: 979 KB - Last synced at: 19 days ago - Pushed at: almost 5 years ago - Stars: 290 - Forks: 32

John-sam1983/John_Ndaa_Samson_Data_Science_Portfolio

This repository is a compilation of all the data science and in particular Machine Learning projects I have successfully carried out.

Language: Jupyter Notebook - Size: 8.24 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

google/vizier

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

Language: Python - Size: 4.69 MB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 1,560 - Forks: 100

Dharmeshgadhiya161/Netflix-Movies-and-TV-Shows-Clustering-Unsupervised-ML

Netflix Movies and TV Shows Clustering Unsupervised ML

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 10 days ago - Pushed at: 4 months ago - Stars: 416 - Forks: 48

mlr-org/mlr3tuningspaces

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

Language: R - Size: 6.78 MB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 13 - Forks: 3

ChanchalKumarMaji/Coursera-Deep-Learning-Specialization-deeplearning.ai

[Coursera] Deep Learning Specialization on Coursera

Language: HTML - Size: 187 MB - Last synced at: 16 days ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 8

SayamAlt/Weather-Prediction-using-Machine-Learning

Successfully developed a machine learning model which can accurately classify the weather based on various features pertaining to weather-related data and atmospheric conditions.

Language: Jupyter Notebook - Size: 9.35 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 5

henryhcooperr/FaceRecognition-MultiArchitecture-Pipeline

A comprehensive face recognition system featuring multiple deep learning architectures (CNN, Siamese, ArcFace, Transformer-hybrid), interactive interface, advanced preprocessing pipeline, hyperparameter optimization, and real-time demo capabilities. Includes visualization tools, cross-validation, and support for multiple datasets.

Language: Python - Size: 651 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

Alex-Lekov/AutoML_Alex

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

Language: Python - Size: 25.9 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 233 - Forks: 45

Techtonique/GPopt

Bayesian optimization using Gaussian Process regression (Python)

Language: HTML - Size: 7.07 MB - Last synced at: 1 day ago - Pushed at: 26 days ago - Stars: 3 - Forks: 0

HunterMcGushion/hyperparameter_hunter

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

Language: Python - Size: 7.27 MB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 707 - Forks: 101

Jamie1377/STA410

A statistical computations and ML orientated Python package to predict stock price.

Language: Jupyter Notebook - Size: 7.71 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

mahnoorsheikh16/NLP-Approach-to-AI-Text-Classification Fork of andrew-jxhn/STT811_StatsProject

A text‐classification pipeline for identifying human‐ versus AI-generated responses using engineered linguistic/semantic features and PCA-reduced vectors; achieves ~85% accuracy with Logistic Regression, SVM, and MLP, and includes a fine-tuned bert-base-uncased model.

Language: Jupyter Notebook - Size: 40.5 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

MLopez-Ibanez/irace

Iterated Racing for Automatic Algorithm Configuration

Language: R - Size: 27.1 MB - Last synced at: 15 days ago - Pushed at: 27 days ago - Stars: 63 - Forks: 16

BCG-X-Official/facet

Human-explainable AI.

Language: Jupyter Notebook - Size: 50.5 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 521 - Forks: 47

nf-core/drugresponseeval

Pipeline for testing drug response prediction models in a statistically and biologically sound way.

Language: Nextflow - Size: 7.45 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 20 - Forks: 4

zahra-ahmadbeigloo/Machine-Learning-Projects

This repository contains machine learning projects, where models are trained for classification, regression, clustering, and deep learning tasks. Each project includes data preprocessing, feature engineering, model training, evaluation, and visualizations to support findings.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 27 days ago - Pushed at: 27 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: 7.2 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 3

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 at: 23 days ago - Pushed at: over 2 years ago - Stars: 1,175 - Forks: 209

LuthfiMirza/Membangun-Proyek-Machine-Learning

mengimplementasikan model klasifikasi berdasarkan hasil clustering dengan pendekatan

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

VicentePerezSoloviev/EDAspy

Estimation of Distribution algorithms Python package

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: 22 days ago - Pushed at: 11 months ago - Stars: 43 - Forks: 9

holgern/scikit-optimize

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

Language: Python - Size: 19.8 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 2

gmontamat/gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Language: Python - Size: 622 KB - Last synced at: 23 days ago - Pushed at: 9 months ago - Stars: 89 - Forks: 19

ytopt-team/ytopt

ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization

Language: C - Size: 25.7 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 47 - Forks: 17

sambo-optimization/sambo

🎯📈 Sequantial and model-based optimization

Language: Python - Size: 108 KB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 0

milagjurovska/PPI-link-prediction-with-optimized-gcn-and-gan

Comparing different biologically inspired algorithms in hyperparameter tuning in GCN and GAN models for link prediction in a protein-protein interaction network.

Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

adiag321/CRM-Analysis-for-Marketing-data

In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign

Language: Jupyter Notebook - Size: 8.67 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 3

alteryx/evalml

EvalML is an AutoML library written in python.

Language: Python - Size: 16.3 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 808 - Forks: 89

fhswf/MLPro-Int-Hyperopt

MLPro: Integration Hyperopt

Language: Python - Size: 2.08 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

gayatri1505/Solana-Memcoin-Prediction-Using-Machine-Learning

This project predicts whether a memcoin launched on Solana’s Pump Fun platform will reach 85 SOL liquidity, using only the first 100 blocks of on-chain data. It features custom feature engineering, a stacking ensemble model, and optimized log loss performance.

Language: Python - Size: 15.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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 at: 18 days ago - Pushed at: over 3 years ago - Stars: 59 - Forks: 28

AishwaryaGade02/Predicting-student-dropout-rate

Build predictive models to identify students at risk of dropping out, using their demographic, academic, and social indicators.

Language: R - Size: 149 KB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ConsBiol-unibern/SDMtune

Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.

Language: R - Size: 204 MB - Last synced at: 13 days ago - Pushed at: 6 months ago - Stars: 26 - Forks: 9

rick12000/confopt

A Library for Conformal Hyperparameter Tuning

Language: Python - Size: 415 KB - Last synced at: about 20 hours ago - Pushed at: about 21 hours ago - Stars: 30 - Forks: 2

SHUBHAMSHARMA0711/BIO543-Big-Data-Mining-in-Healthcare-Assignments

Assignments Completed during BIO543:Big Data Mining in Healthcare Course in IIITD during Winter 2025 Semester. Professor: Gajendra P.S. Raghava

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

adityyaraj/Smart-Hyperparameter-Tuning-with-Optimization

Implementation of a hybrid hyperparameter optimization framework integrating evolutionary strategies, probabilistic modeling, and meta-learning for enhanced model training on tasks like MNIST classification.

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

madhurimarawat/ML-Model-Datasets-Using-Streamlits

This repository contains my machine learning models implementation code using streamlit in the Python programming language.

Language: Jupyter Notebook - Size: 3.58 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 4

eigenein/rust-hyperopt

Tree-of-Parzen-estimators hyperparameter optimization

Language: Rust - Size: 114 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

mimihime0/CNN-Fashion-MNIST-Classifier

A convolutional neural network (CNN) for classifying the Fashion-MNIST dataset. Includes experiments with regularization techniques, data augmentation, and hyperparameter tuning to optimize model performance, achieving 89.76% test accuracy.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

fhswf/MLPro-Int-Optuna

Language: Python - Size: 2.08 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

sayeang/AWS-DeepRacer-Autonomous-Racing-Model

Developed-an-AWS-DeepRacer-model-using-Python-&-the-PPO-algorithm,-leveraging-TensorFlow-to-train-&-fine-tune-a-deep-reinforcement-learning-model.-Designed-a-custom-reward-function-&-optimized-hyperparameters-to-improve-policy-learning-&-navigation-performance.-Utilized-AWS-infrastructure-for-scalable-training-&-deployment.

Size: 1.95 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

SayamAlt/Liver-Cirrhosis-Stage-Prediction

Successfully established a machine learning model which can determine whether an individual is vulnerable to the Cirrhosis disease or not by predicting its corresponding stage based on a unique set of medical features such as Cholesterol, Prothrombin, etc. pertaining to that person.

Language: Jupyter Notebook - Size: 5.48 MB - Last synced at: 20 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

pavankethavath/Microsoft-Classifying-Cybersecurity-Incidents-with-ML

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: about 19 hours ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

jsingh811/pyAudioProcessing

Audio feature extraction and classification

Language: Python - Size: 22.9 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 225 - Forks: 39

igomezv/nnogada

Neural Networks Optimized by Genetic Algorithms for Data Analysis

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ahsan-83/Deep-Learning-Specialization-Coursera

Deep Learning Specialization course offered by DeepLearning.AI on Coursera

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