model-comparison
There are 82 repositories under model-comparison topic.
stefanradev93/BayesFlow
A Python library for amortized Bayesian workflows using generative neural networks.
stan-dev/loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Joshuaalbert/jaxns
Probabilistic Programming and Nested sampling in JAX
wknoben/MARRMoT
Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 47 conceptual hydrologic models
Sanaelotfi/Bayesian_model_comparison
Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
EmilianoGagliardiEmanueleGhelfi/CNN-compression-performance
A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks
gershonc/octopus-ml
A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
UBC-MDS/RegscorePy
This is the repo for a python package that does model comparison between different regression models.
wittawatj/kernel-mod
NeurIPS 2018. Linear-time model comparison tests.
seuwenfei/Online-payment-fraud-detection
This repository contains my online payment fraud detection project using Python
AaronFlore/Forecasting-Bitcoin-Prices
Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python
McSCert/Model-Comparison-Utility
Matlab command-line functions for supporting Simulink model comparison
alicelh/ModelWise
ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection(EuroVis 22)
chjackson/fic
R package for focused information criteria for model comparison
AAnzel/Polar-Diagrams-for-Model-Comparison
"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel, Dominik Heider, and Georges Hattab
m-clark/R-III-Modeling
Using models to understand relationships and make predictions.
advaitsave/Churn-Classification-Model-Selection
A comprehensive Churn Classification solution aimed at laying out the steps of a classification solution, including EDA, Stratified train test split, Training multiple classifiers, Evaluating trained classifiers, Hyperparameter tuning, Optimal probability threshold tuning, model comparison, model selection and Whiteboxing models for business sense. (Python)
vsquicciarini/madys
MADYS: isochronal parameter determination for young stellar and substellar objects
guyabel/tidycat
Expand broom::tidy() output for categorical parameter estimates
m-pektas/BFAS
Brute Force Architecture Search
ashx010/Titanic_Analysis_Model
Classification model on Titanic: Tragic shipwreck with EDA. Secured Accuracy Score of ~0.78.
mjvakili/gambly
Searching for galaxy-assembly bias in the SDSS data
RohitLearner/Dream-Masters-Program-Analysis
Awesome Collaborated Project of Master's Program Analysis with Ranjith Kumar Govindarajan.
yihong1120/YOLOv8-qat
Quantization Aware Training
ashx010/taxi_fare_prediction
Regression model on Taxi Fare Data with EDA. The data is taken from a Hackathon ( Data Science Student Championship 2023 ) on MachineHack.
Christian-F-Badillo/Temas_Selectos_en_Estadistica
Repositorio para el curso intersemestral "Temas Selectos en Estadística" para la Facultad de Psicología, UNAM.
Daniel-Andarge/AiML-brent-oil-price-analysis
This project analyzes Brent oil prices from 1987-2022, detecting structural changes and associating them with major events to provide data-driven insights for the energy industry.
Enzo2806/Logistic-Multiclass
We investigated the performance of the Logistic and Multiclass Regression models and compared their accuracies to KNN. We compared Logistic Regression and KNN based on the "IMdB reviews" dataset, while Multiclass Regression and KNN were compared based on the "20 news groups" dataset.
Enzo2806/MLP-CNN
We implemented a Multi-Layer Perceptron (MLP) model from scratch and compared its performance based on image classification accuracy on the "Fashion-MNIST" dataset to the performance of the Tensorflow Keras library's Convolutional Neural Network (CNN).
Godhuli-De/LungCancerPrediction_ModelComparison
This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.
qtle3/polynomial-regression
This project demonstrates the use of both Linear and Polynomial Regression models to predict salaries based on the position level of employees. By using a dataset that contains position levels and their corresponding salaries, this project showcases the differences between linear and polynomial models in fitting data and making predictions.
sergio11/headline_generation_lstm_transformers
Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.
yusufesatt/model-map-comparison
This project includes a python script that creates graphs by reading data from CSV files of models trained with YOLO.