Topic: model-fitting Goto Github
Some thing interesting about model-fitting
Some thing interesting about model-fitting
model-fitting,tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics
User: adbecker
model-fitting,code to infer model parameters from data (first dedicated to the dynamic clicks task)
User: aernesto
model-fitting,Multiple linear regression model based on eCommerce customers data in Python language.
User: aleniart
model-fitting,Automatic Dendrogram Cut integration for preference based Computer Vision Model Fitting algorithms
User: alessandromessori
model-fitting,a gradient-based optimisation routine for highly parameterised non-linear dynamical models
User: alexandershaw4
model-fitting,JetSeT a framework for self-consistent modeling and fitting of astrophysical relativistic jets
User: andreatramacere
model-fitting,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
User: anilbey
model-fitting,step-by-step walkthrough of model fitting via least squares and staircase validation via negative log likelihood in MATLAB
User: antoniofs23
model-fitting,The projects which involve the use of ML concepts
User: anuragkr29
model-fitting,Labs for the "Statistical Learning and Neural Networks" course @ Polytechnic University of Turin
User: arnestc
model-fitting,C++ Tool for Template Fitting for Photometric Redshift Estimation
Organization: astrorama
model-fitting,SourceXtractor++, the next generation SExtractor
Organization: astrorama
Home Page: https://astrorama.github.io/SourceXtractorPlusPlus/
model-fitting,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.
User: briankim254
model-fitting,Rebuilding https://github.com/mac-theobio/McMasterPandemic/
Organization: canmod
Home Page: https://canmod.github.io/macpan2/
model-fitting,piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.
User: chasmani
model-fitting,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.
User: devosmitachatterjee2018
model-fitting,Semester Project for Timeseries Course / Aristotle University of Thessaloniki / Winter Semester 2020
User: dimikave
model-fitting,Visualization and model fitting for Kobe Bryant shots over the course of his career. Data comes from the Kobe Bryant Shot Selection Kaggle Competition
User: dteuscher1
model-fitting,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.
User: dteuscher1
model-fitting,From coin to 3D face sculpture of roman emperors
Organization: geovr-organization
Home Page: https://ercresp.info/
model-fitting,Statistical analysis and linear modeling in R
User: hluebbering
Home Page: https://hluebbering.github.io/linear-models/
model-fitting,Toolbox for change-point detection and ideal-observer analyses of IBL task data
Organization: int-brain-lab
model-fitting, GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
User: japitt
Home Page: https://japitt.github.io/GEARS/
model-fitting,Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Regression Models Course: Motor Trend Project repo: date created 61229
User: jcwalmsley
model-fitting,A lean C++ library for working with point cloud data
User: kzampog
model-fitting,Tutorial on Bayesian model fitting with (Py)VBMC.
User: lacerbi
model-fitting,Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle
User: maxxhvo
model-fitting,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.
User: miguelangelnieto
model-fitting,Package for fitting/optimization of NeuroML models
Organization: neuralensemble
Home Page: https://docs.neuroml.org/Userdocs/OptimisingNeuroMLModels.html
model-fitting,Python-based fitting of 1-state MDP Reinforcement Learning algorithms using Global Optimization (Turner Lab, HHMI, 2023)
User: neurorishika
model-fitting,Statistical Modelling of Swine Flu Outbreak Data
User: nidhimanthale
model-fitting,This MATLAB script fits either a linear or hyperbolic function to time-series data (e.g., growth data).
User: nmikolajewicz
model-fitting,Meta-analysis toolbox for basic research applications. Developed in MATLAB R2016b.
User: nmikolajewicz
Home Page: https://www.frontiersin.org/articles/10.3389/fphys.2019.00203/full
model-fitting,HVAC model fitting tool from measured data, basic tkinter gui
User: olrez
model-fitting,This repo contains an R script that algorithmically finds the best distribution that fits several continuous, randomized variables
User: omar-elmaria
model-fitting,General RANSAC solver with detailed examples.
User: omyllymaki
model-fitting,An R package of S3 generic methods for Bayesian analyses that generate MCMC samples
Organization: poissonconsulting
Home Page: https://poissonconsulting.github.io/universals/
model-fitting,Data Analytics on a simple gender classification dataset taken from kaggle. Univariate bivariate and multivariate analysis EDA and model fitting
User: priyalfatewar
model-fitting,torchbearer: A model fitting library for PyTorch
Organization: pytorchbearer
Home Page: http://pytorchbearer.org
model-fitting,Python framework for multi-parameter optimization and evaluation of protein folding models
User: quantumjot
model-fitting,Signal Processor in Python
User: ramy-badr-ahmed
model-fitting,Finding Donors for CharityML
User: rebeccak1
model-fitting,Elegant Mathematica-style model manipulation, fitting and exploration in MATLAB.
User: sg-s
model-fitting,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.
User: shridhar1504
model-fitting,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.
User: shridhar1504
model-fitting,Wrangled real estate data from multiple sources and file formats, brought it into a single consistent form and analysed the results.
User: siddharth1989
model-fitting,A Python package for fitting secular evolution models to exoplanet transit and radial velocity observations, and interpreting results in the context of various theoretical predictions.
User: simonehagey
Home Page: https://orbdot.readthedocs.io
model-fitting,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.
User: tatha04
model-fitting,Course Project for the course CS 736
User: vipulramtekkar
model-fitting,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.
Organization: zfit
Home Page: http://zfit.readthedocs.io/
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