model-fitting
There are 59 repositories under model-fitting topic.
kzampog/cilantro
A lean C++ library for working with point cloud data
pytorchbearer/torchbearer
torchbearer: A model fitting library for PyTorch
zfit/zfit
Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.
chasmani/piecewise-regression
piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.
astrorama/SourceXtractorPlusPlus
SourceXtractor++, the next generation SExtractor
andreatramacere/jetset
JetSeT a framework for self-consistent modeling and fitting of astrophysical relativistic jets
VipulRamtekkar/Active-Appearance-Models
Course Project for the course CS 736
NeuralEnsemble/neurotune
Package for fitting/optimization of NeuroML models
quantumjot/PyFolding
Python framework for multi-parameter optimization and evaluation of protein folding models
tatha04/Housing-Prices-Advanced-Regression-Techniques
This notebook explores the housing dataset from Kaggle to predict Sales Prices of housing using advanced regression techniques such as feature engineering and gradient boosting.
NMikolajewicz/MetaLab
Meta-analysis toolbox for basic research applications. Developed in MATLAB R2016b.
adbecker/tsiR
tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics
anilbey/Nonlinear-Model-Identification-with-FROE
Implementation of the algorithm described in the following paper. Korenberg, M., Billings, S.A. and Liu, Y.P. (1987) An Orthogonal Parameter Estimation Algorithm for Nonlinear Stochastic Systems
int-brain-lab/ibl-changepoint
Toolbox for change-point detection and ideal-observer analyses of IBL task data
alexandershaw4/aoptim
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
omyllymaki/ransac-solver
General RANSAC solver with detailed examples.
poissonconsulting/universals
An R package of S3 generic methods for Bayesian analyses that generate MCMC samples
shridhar1504/Sales-Forecasting-Datascience-Project
Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.
canmod/macpan2
Rebuilding https://github.com/mac-theobio/McMasterPandemic/
JaPitt/GEARS
GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
lacerbi/nyu2023-bayes
Tutorial on Bayesian model fitting with (Py)VBMC.
sg-s/model
Elegant Mathematica-style model manipulation, fitting and exploration in MATLAB.
AlessandroMessori/Preference-Selection-Automatic-Cut
Automatic Dendrogram Cut integration for preference based Computer Vision Model Fitting algorithms
Briankim254/mushroom-classifier
This repository hosts a machine learning-based mushroom identification system, utilizing scikit-learn models in a Jupyter notebook. The project analyzes and processes a Kaggle dataset to train a model that classifies mushrooms as edible or poisonous, providing a reliable tool for mushroom enthusiasts and foragers.
devosmitachatterjee2018/Computer_Vision
The project involves projective geometry, geometric transformations, modelling of cameras, feature extraction, stereo vision, recognition and deep learning, 3d-modelling, geometry of surfaces and their silhouettes, tracking, and visualisation.
dteuscher1/NBA-Basketball-Visualization
Visualization and model fitting for Kobe Bryant shots over the course of his career. Data comes from the Kobe Bryant Shot Selection Kaggle Competition
GeoVr-organization/RESP3D-generator
From coin to 3D face sculpture of roman emperors
maxxhvo/Modelling_Climate_Change_Via_Indicators
Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle
miguelangelnieto/Finding-Donors-for-CharityML
Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.
Olrez/HVAC_model_regression
HVAC model fitting tool from measured data, basic tkinter gui
priyalfatewar/Data-Analytics-Project-on-Gender-Classification
Data Analytics on a simple gender classification dataset taken from kaggle. Univariate bivariate and multivariate analysis EDA and model fitting
shridhar1504/Foreign-Exchange-Rate-Time-series-Datascience-Project
This project will use time series analysis to forecast the exchange rate between the euro and the US dollar. The project will use a variety of statistical techniques, such as ARIMA to model the data and forecast the exchange rate.
Siddharth1989/WranglingRealEstateData
Wrangled real estate data from multiple sources and file formats, brought it into a single consistent form and analysed the results.
paogam1997/Sensibility-Analysis-MatlabToolbox
Files used for the Cibernetica Fisiologica project. I've used the Matlab sensitivity toolbox to find the parameters that make the model fits the data simulated.
Ramy-Badr-Ahmed/Signal-Processor
Signal Processor in Python - https://doi.org/10.5281/zenodo.13286179