fitting
There are 240 repositories under fitting topic.
pyfa-org/Pyfa
Python fitting assistant, cross-platform fitting tool for EVE Online
YuvalNirkin/face_swap
End-to-end, automatic face swapping pipeline
soubhiksanyal/FLAME_PyTorch
This is a implementation of the 3D FLAME model in PyTorch
ascust/3DMM-Fitting-Pytorch
A 3DMM fitting framework using Pytorch.
apache/commons-math
Apache Commons Math
KDE/labplot
LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
scikit-hep/iminuit
Jupyter-friendly Python interface for C++ MINUIT2
chfenger/goNum
开源Go语言数值算法库(An open numerical library purely based on Go programming language)
bd-j/prospector
Python code for Stellar Population Inference from Spectra and SEDs
sherpa/sherpa
Fit models to your data in Python with Sherpa.
GooFit/GooFit
Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP
hyrodium/BasicBSpline.jl
Basic (mathematical) operations for B-spline functions and related things with julia
TommasoBelluzzo/PyDTMC
A library for discrete-time Markov chains analysis.
DavidBoja/SMPL-Fitting
Fit an SMPL body model to a scan
ECheynet/SEIR
Generalized SEIR Epidemic Model (fitting and computation)
mljs/levenberg-marquardt
Curve fitting method in JavaScript
jkirkby3/pymle
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
yblin/global_l0
Global L0 algorithm for regularity-constrained plane fitting
teasit/magic-formula-tyre-library
MATLAB library for magic formula tyre modeling
teasit/magic-formula-tyre-tool
MATLAB GUI for Magic Formula Tyre Modeling
Koushikphy/Interactive_Data_Editor
A Software to interactively edit data in a graphical manner
mcuntz/jams_fortran
A collection of general Fortran modules in the categories Computational, Date and Time, Input / Output, Math / Numerics, Screening, Sensitivity Analysis and Optimising / Fitting, and Miscellaneous.
nh9k/Computer-vision
Computer Vision implementation
poncateam/ponca
Ponca (fomerly known as Patate) is a header only C++/CUDA library for point cloud analysis
alexamici/covid-19-notebooks
Data analysis of the COVID-19 outbreak in Italy updated daily from official sources
Anselmoo/spectrafit
📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.
jorge-ramirez-upm/RepTate
RepTate (Rheology of Entangled Polymers: Toolkit for Analysis of Theory & Experiment)
mpes-kit/mpes
Distributed data processing routines for multidimensional photoemission spectroscopy (MPES)
Infant83/TBFIT
Tight-binding parameter fitting package (TBFIT) for Slater-Koster method
PetroFit/petrofit
Python package for calculating Petrosian properties and fitting galaxy light profiles
arm61/uravu
A straightforward Bayesian data fitting library
BEAST-Fitting/beast
Bayesian Extinction And Stellar Tool
numere-org/NumeRe
Framework for numerical computations, data analysis and visualisation
MyPyDavid/raman-fitting
A Python framework for the batch processing and deconvolution of Raman spectra of carbonaceous materials.
cesmix-mit/PotentialLearning.jl
PotentialLearning.jl: Optimize your atomistic data and interatomic potential models in your molecular dynamic workflows.
Shaggyshak/CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-Visualization
Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspectors demand long inspection times to examine large and difficult to access bridges. To address these limitations, we investigate a computer vision‐based approach that employs SIFT keypoint matching on collected images of defects against a pre-existing reconstructed 3D point cloud of the bridge. We also investigate methods of reducing computation time with ML-based and conventional CV methods of segmentation to eliminate redundant keypoints. Our project successfully localizes the defect images and achieves a savings in runtime from filtering keypoints.