GitHub topics: model-fitting
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.
Language: Python - Size: 59.7 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 193 - Forks: 64

simonehagey/orbdot
A Python package for studying secular evolution of exoplanet orbits using observational data.
Language: Python - Size: 5.84 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 2

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.
Language: Python - Size: 22.3 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 118 - Forks: 25

canmod/macpan2
Tools for building and calibrating compartmental models of infectious disease.
Language: R - Size: 64.8 MB - Last synced at: about 15 hours ago - Pushed at: 15 days ago - Stars: 5 - Forks: 2

nrgrp/rlfit
Package for fitting reinforcement learning model to behavior data under multi-armed bandits
Language: Python - Size: 190 KB - Last synced at: about 15 hours ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

pytorchbearer/torchbearer
torchbearer: A model fitting library for PyTorch
Language: Python - Size: 7.88 MB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 642 - Forks: 64

PPeitsch/pkynetics
A Python library for thermal analysis and reaction kinetics. Supports DSC, TGA, and dilatometry with tools for model-fitting (JMAK, Kissinger), model-free (Friedman, KAS, OFW) analysis, data processing, and visualization.
Language: Python - Size: 3.28 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

kzampog/cilantro
A lean C++ library for working with point cloud data
Language: C++ - Size: 48.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1,087 - Forks: 207

andreatramacere/jetset
JetSeT a framework for self-consistent modeling and fitting of astrophysical relativistic jets
Language: Python - Size: 301 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 36 - Forks: 14

poissonconsulting/universals
An R package of S3 generic methods for Bayesian analyses that generate MCMC samples
Language: R - Size: 518 KB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 4 - Forks: 1

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.
Language: Jupyter Notebook - Size: 295 KB - Last synced at: 24 days ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 8

astrorama/SourceXtractorPlusPlus
SourceXtractor++, the next generation SExtractor
Language: C++ - Size: 13 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 79 - Forks: 11

NeuralEnsemble/neurotune
Package for fitting/optimization of NeuroML models
Language: Python - Size: 2.24 MB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 18 - Forks: 11

Zubax/jafit
Jiles-Atherton system identification tool: Given a B(H) curve, finds the Jiles-Atherton model coefficients. Supports various JA model formulations. Has an interactive GUI.
Language: Python - Size: 26.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

nrgrp/dlfm
Multi-convex programming for discrete latent factor models prototyping
Language: Jupyter Notebook - Size: 899 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

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.
Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 5

VipulRamtekkar/Active-Appearance-Models
Course Project for the course CS 736
Language: Python - Size: 348 MB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 19 - Forks: 5

int-brain-lab/ibl-changepoint
Toolbox for change-point detection and ideal-observer analyses of IBL task data
Language: Jupyter Notebook - Size: 269 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 0

astrorama/PhosphorosCore
C++ Tool for Template Fitting for Photometric Redshift Estimation
Language: C++ - Size: 2.88 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

maxxhvo/Modelling_Climate_Change_Via_Indicators
Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle
Language: HTML - Size: 15.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

neurorishika/pyGORL
Python-based fitting of 1-state MDP Reinforcement Learning algorithms using Global Optimization (Turner Lab, HHMI, 2023)
Language: HTML - Size: 502 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

alexandershaw4/aoptim
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
Language: MATLAB - Size: 7 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 0

eslam69/neuroptimus-hippoUnit
Language: C - Size: 151 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Ramy-Badr-Ahmed/Signal-Processor
Signal Processor in Python - https://doi.org/10.5281/zenodo.13286179
Language: Python - Size: 1.35 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

GeoVr-organization/RESP3D-generator
From coin to 3D face sculpture of roman emperors
Language: Python - Size: 10.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

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
Language: MATLAB - Size: 971 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 1

phdpablo/smart-cfa
Solution in the form of a tutorial article wherein the key decisions made in conducting a CFA are validated through recent literature and presented within a dynamic document framework.
Language: TeX - Size: 9.12 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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.
Language: MATLAB - Size: 7.73 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

aleniart/multiple_linear_regression_customers
Multiple linear regression model based on eCommerce customers data in Python language.
Language: Jupyter Notebook - Size: 3.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

antoniofs23/function-fitting-demo
step-by-step walkthrough of model fitting via least squares and staircase validation via negative log likelihood in MATLAB
Language: Jupyter Notebook - Size: 105 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nidhimanthale/Statistical-Modelling
Statistical Modelling of Swine Flu Outbreak Data
Language: R - Size: 239 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

dteuscher1/Store-Demand-Time-Series
EDA, visualization and model fitting of time series data for the Store Item Demand Forecasting Kaggle competition using the Prophet package. The goal of the competition is to predict the sales of 50 different items at 10 different stores over 3 months. Results would be in the 57th percentile.
Language: R - Size: 3.16 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Olrez/HVAC_model_regression
HVAC model fitting tool from measured data, basic tkinter gui
Language: Python - Size: 51.8 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

quantumjot/PyFolding 📦
Python framework for multi-parameter optimization and evaluation of protein folding models
Language: Python - Size: 11.9 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 4

NMikolajewicz/MetaLab
Meta-analysis toolbox for basic research applications. Developed in MATLAB R2016b.
Language: MATLAB - Size: 3.07 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 6

NMikolajewicz/Animal-growth-models
This MATLAB script fits either a linear or hyperbolic function to time-series data (e.g., growth data).
Language: MATLAB - Size: 300 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

JaPitt/GEARS
GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
Language: Matlab - Size: 179 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

AlessandroMessori/Preference-Selection-Automatic-Cut
Automatic Dendrogram Cut integration for preference based Computer Vision Model Fitting algorithms
Language: Python - Size: 93.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

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.
Language: Jupyter Notebook - Size: 2.37 MB - Last synced at: 26 days ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

anuragkr29/Machine-Learning
The projects which involve the use of ML concepts
Language: Python - Size: 207 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

javiaspiroz/api-node-PC3 Fork of Juanal07/api-node-PC3
Welcome to our PC3 backend
Size: 6.71 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

javiaspiroz/api-flask-PC2 Fork of Juanal07/api-flask-PC2
Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Balajimohan18/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.
Language: Jupyter Notebook - Size: 2.21 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Siddharth1989/WranglingRealEstateData
Wrangled real estate data from multiple sources and file formats, brought it into a single consistent form and analysed the results.
Language: Jupyter Notebook - Size: 8.51 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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.
Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

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
Language: Jupyter Notebook - Size: 243 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

lacerbi/nyu2023-bayes
Tutorial on Bayesian model fitting with (Py)VBMC.
Language: Jupyter Notebook - Size: 15.5 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

omar-elmaria/distributions_of_per_user_metrics
This repo contains an R script that algorithmically finds the best distribution that fits several continuous, randomized variables
Language: R - Size: 9.77 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Marieapln/Dissertation Fork of Marie-2707/Dissertation
Shiny App to visualise and fit a GAM
Language: R - Size: 2.03 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

hluebbering/linear-models
Statistical analysis and linear modeling in R
Language: R - Size: 1.52 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

omyllymaki/ransac-solver
General RANSAC solver with detailed examples.
Language: Python - Size: 373 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

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
Language: HTML - Size: 19.4 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

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.
Language: MATLAB - Size: 35.7 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

adbecker/tsiR
tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics
Language: R - Size: 1010 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 5

dimikave/timeseries_auth
Semester Project for Timeseries Course / Aristotle University of Thessaloniki / Winter Semester 2020
Language: MATLAB - Size: 3.85 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

wtennant/arbo_gpu_fit
Fitting a stochastic individual based model for arboviral disease.
Language: C++ - Size: 94.7 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

aernesto/NBDT_dynamic_clicks
Reference repository for code used in our NBDT publication on the dynamic clicks task
Language: MATLAB - Size: 10.7 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

aernesto/param-infer-clicks
code to infer model parameters from data (first dedicated to the dynamic clicks task)
Language: MATLAB - Size: 886 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

sg-s/model
Elegant Mathematica-style model manipulation, fitting and exploration in MATLAB.
Language: Matlab - Size: 3.2 MB - Last synced at: 19 days ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 1

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.
Language: HTML - Size: 212 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

rebeccak1/finding-donors
Finding Donors for CharityML
Language: HTML - Size: 1.16 MB - Last synced at: 12 months ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 1
