GitHub topics: maximum-likelihood-estimation
mathamuse/MLE-Estimates-of-Random-Variables
This is a set of Python Codes related to a basic data science Probability Course at a masters level.
Size: 13.7 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

raphael-group/LAML
LAML is a maximum likelihood algorithm to infer cell phylogeny from dynamic lineage tracing data
Language: Python - Size: 59.7 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 8 - Forks: 1

MatthewReid854/reliability
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
Language: Python - Size: 24.2 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 372 - Forks: 82

cescalara/icecube_tools
Python tools for working with the IceCube public data.
Language: Python - Size: 34.8 MB - Last synced at: 16 days ago - Pushed at: 8 months ago - Stars: 15 - Forks: 7

Sendrowski/PhaseGen
Computation and inference on exact solutions of coalescent distributions under diverse demographic scenarios.
Language: Python - Size: 93.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 5 - Forks: 0

monty-se/PINstimation
A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.
Language: R - Size: 5.27 MB - Last synced at: 30 days ago - Pushed at: 8 months ago - Stars: 40 - Forks: 7

WilliamBidle/QST
A public Python package to perform quantum state tomography through maximum likelihood estmation
Language: Python - Size: 5.25 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

jkirkby3/pymle
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
Language: Python - Size: 218 KB - Last synced at: 26 days ago - Pushed at: 6 months ago - Stars: 51 - Forks: 13

ostad-ai/Machine-Learning
This repository contains topics and codes related to Machine Learning and Data Science, especially in Python
Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

monty-se/skellam
R package for statistical modeling with the Skellam distribution, supporting inference, random sampling, and regression for differences of independent Poisson counts.
Language: R - Size: 56.6 KB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

vanTeeffelenLab/ExTrack
ExTrack MLE for diffusive noisy single-particle tracks
Language: Jupyter Notebook - Size: 9.43 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 13 - Forks: 4

TomAspinall/FKF.SP
Fast Kalman Filtering through Sequential Processing (R Package)
Language: C - Size: 734 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 4 - Forks: 1

TomAspinall/kalman-filter
Kalman Filtering and Smoothing in Python, using optimized algorithms
Language: C - Size: 152 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

alanff15/Non-Linear-Least-squares
Non Linear Least squares solver and maximum Likelihood Estimation (MLE)
Language: C++ - Size: 1.24 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

xRiskLab/fisher-scoring
A Python implementation of the Fisher Scoring algorithm
Language: Python - Size: 590 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

thechibo/estim
Distribution Parameter Estimation - DEPRECATED - please use https://github.com/thechibo/joker
Language: R - Size: 10.4 MB - Last synced at: 21 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

thechibo/joker
S4-based framework for probability distributions and mathematical statistics in R.
Language: R - Size: 5.62 MB - Last synced at: 24 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

gbroques/naive-bayes
A Python implementation of Naive Bayes from scratch.
Language: Python - Size: 61.5 KB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 38 - Forks: 27

dfleta/hidden-markov-models
Código curso Artificial Intelligence with Python sobre cadenas de Markov y hidden Markov models para el módulo de Modelos de Inteligencia Artificial del curso de especialización en IA y Big Data del IES de Teis
Language: Python - Size: 10.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

dkanungo/Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
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m-clark/models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Language: R - Size: 26.2 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 68 - Forks: 18

romain-e-lacoste/sparklen
A statistical learning toolkit for high-dimensional Hawkes processes in Python
Language: Python - Size: 250 KB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 10 - Forks: 0

DucPhamBP/Statistics-for-Data-Science
Final project for the course "Statistics for Data Science" (the University of Pisa, LM Data Science and Business Informatics)
Language: R - Size: 2.22 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Beliavsky/Mixture-of-Normals-Estimation
Estimate a univariate mixture of normals distribution using moments and the EM algorithm
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SaiSampathKedari/Statistical-Inference-Theory
Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estimation, Hypothesis Testing, and Interval Estimation, crucial for Statistical Machine Learning, Computational Statistics, and Probabilistic Robotics.
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ecrc/exageostat
A High Performance Unified Framework for Geostatistics on Manycore Systems.
Language: C - Size: 7.83 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 37 - Forks: 16

jdtumlinson/knn
This repository contains the code for the kNN and MLE assignment for CS434 Machine Learning and Data Mining at Oregon State University during Fall of 2024. This is being uploaded a few months afte the compleition of this assignment.
Language: Python - Size: 225 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

gcampanella/pydata-london-2018
Slides and notebooks for my tutorial at PyData London 2018
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stat-ml/GeoMLE
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
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drkocoglu/Patter_Recognition_Class
Pattern Recognition - ECE - TTU - Spring 2021
Language: MATLAB - Size: 21.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Abdoelabassi/Statistics_for_ML
Probability & Statistics for Machine Learning & Data Science
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AlexStead/rfrontier
Stata package for robust stochastic frontier analysis
Language: Stata - Size: 68.4 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

AlexStead/FronPy
Python package for frontier analysis
Language: Python - Size: 637 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

Beliavsky/Fit-Student-t-distribution
Fit a Student t distribution to univariate data via maximum likelihood
Language: Fortran - Size: 9.77 KB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

queelius/likelihood.model
Likelihood model framework
Language: R - Size: 387 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

kkoukouletsou/Pattern-Recognition-and-Machine-Learning
Assignments for Pattern Recognition and Machine Learning Course at ECE AUTH.
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mjavadg/Econometrics_Fall-2024
For master’s students in mathematical economics, focusing on econometric methods and applications.
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viodotcom/ppca_rs
Python+Rust implementation of the Probabilistic Principal Component Analysis model
Language: Rust - Size: 316 KB - Last synced at: 1 day ago - Pushed at: 10 months ago - Stars: 35 - Forks: 2

DolbyUUU/regression_algorithm_implementation_python
regression algorithm implementaion from scratch with python (least-squares, regularized LS, L1-regularized LS, robust regression)
Language: Python - Size: 4.88 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

jeswheel/arima2
Software for maximum likelihood estimation of ARIMA models
Language: R - Size: 618 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 3 - Forks: 0

jkirkby3/BsplineDensity
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
Language: MATLAB - Size: 24.4 KB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 3

stalbrec/JetMass Fork of UHH2/JetMass
Analysis code for jet mass calibration and measurement (histograms, Maximum Likelihood Fit setup, etc.)
Language: Python - Size: 325 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

simonpierreboucher/mle_econometrics_notebook
This project contains a series of Python notebooks that demonstrate econometric techniques using Maximum Likelihood Estimation (MLE) and Ordinary Least Squares (OLS), with a focus on robust standard error calculations and heteroscedasticity tests.
Language: Jupyter Notebook - Size: 639 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

odubno/gauss-naive-bayes
Gauss Naive Bayes in Python From Scratch.
Language: Python - Size: 16.1 MB - Last synced at: 8 months ago - Pushed at: over 6 years ago - Stars: 45 - Forks: 21

daodavid/maths-behind-ML
Maths behind machine learning and some implementations from scratch.
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Bujosea/BERN02
Parameter estimation using maximum likelihood
Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

jtfeld/EloOptimized
Maximum-likelihood fitting of Elo scores
Language: R - Size: 8.81 MB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

HamedFarahani89/Statistical-methods-and-Quantitative-finance
This repository documents the statistical methods employed in my PhD research projects.
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RenXiangyuan/Statistical-Learning---Image-Segmentation
Using Statistical Learning Method to Segment Image
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witkov/chi-squared
Resources for the book "Chi-Squared Data Analysis and Model Testing for Beginners" by Carey Witkov and Keith Zengel, Oxford University Press, 2019.
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pandafengye/MIST
MIST: a metagenomic intra-species typing tool.
Language: Python - Size: 251 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0

mariakamran86/MIMIC_Modeling_Discrete_Indicators_R
Intended to implement multiple-indicator, multiple-cause (MIMIC) modeling with discrete indicators in R.
Language: R - Size: 994 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

mnk400/gumbelMLE
Maximum Likelihood Estimation for gumbel distribution.
Language: Python - Size: 335 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

snejens/arbfree_dynamic_nelson_siegel
Arbitrage-free Dynamic Generalized Nelson-Siegel model of interest rates following Christensen, Diebold and Rudebusch; and its estimation using the Kalman filter / maximum likelihood.
Language: Python - Size: 925 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

Neves-P/DAISIErobustness
Test the Robustness of DAISIE to Geodynamics and Traits
Language: R - Size: 1.07 GB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 3

HasanatJahan/NLP-MLE-Language-Models
Language: Python - Size: 5.21 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

mieskolainen/HEP-statistics
High Energy Physics Statistics Exercises
Language: Matlab - Size: 5.21 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

mieskolainen/DREM-PID
Multichannel Double Recursive Frequentist-Bayesian Particle Identification algorithm in HEP
Language: C++ - Size: 77.1 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Gallicchio-Lab/femodel-tf-optimizer
Maximum likelihood estimation with TensorFlow of the parameters of an analytical model of alchemical molecular binding
Language: Python - Size: 2.19 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 2

christopher-w-murphy/Class-Imbalance-in-WW-Polarization
Treating the measurement of the same-sign W polarization fraction as a class imbalance problem
Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 2

KeplerGO/oktopus
🐙: Maximum likelihood model estimation using scipy.optimize
Language: Python - Size: 8.51 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 19 - Forks: 5

knottwill/Cauchy-MLE
Maximum likelihood estimation (MLE) of the location parameter of the Cauchy (Lorentzian) distribution.
Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

enesozi/ML-course-HW1
Bias/Variance dilemma, cross-validation and work on Iris Data Set from UCI Machine Learning Repository
Language: Matlab - Size: 95.7 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

polyactis/Accucopy
Accucopy is a computational method that infers Allele-specific Copy Number alterations from low-coverage low-purity tumor sequencing Data.
Language: C++ - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 4

jb262/MaximumLikelihoodGammaDist
A basic implementation for the maximum likelihood estimators of a gamma distribution's parameters.
Language: VBA - Size: 5.86 KB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

queelius/wei.series.md.c1.c2.c3
Weibull series system estimation from data with censored lifetimes and masked component cause of failure.
Language: R - Size: 1.42 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Jaimemosg/EstimationTools
This package provides routines for parameter estimation and model diagnostics for any probability density or mass function implemented in R via maximum likelihood given a data set, with or without covariates. Tools in this package have general applicability, especially in survival analysis and distance sampling. :mag::computer:
Language: R - Size: 196 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

Jocelyne-Smith/data-science
Some R and Python code I've been working on.
Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

chris-kelly/ds_blog
Data Science Blog
Language: HTML - Size: 11.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

prakHr/NeuralNetworksAndFuzzyLogic
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
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ohmthanap/CS559_Machine-Learning-Fundamentals-Applications
Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting
Language: Jupyter Notebook - Size: 62.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kyomangold/ETH-MachineLearning
Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.
Language: Python - Size: 568 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

magister-informatica-uach/INFO337
Herramientas estadísticas para la investigación
Language: Jupyter Notebook - Size: 114 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 5

Taabannn/intro-ml
This repository has been created just for warm-up in machine learning and there are my simulation files of UT-ML course HWs.
Language: Jupyter Notebook - Size: 48.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

upathare1/Advanced-Term-Structures
Our project extends the classical models such as Vasicek and CIR to incorporate the effects of jump-risks in the market. We explore modern methods to price and calibrate such models and evaluate their pricing performance with respect to classical models and the observed market prices.
Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2

bcbi/MaximumLikelihoodProblems.jl
Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
Language: Julia - Size: 276 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

ashishyadav24092000/MAximumLIkelihoodEstimator2_TVads_and_carsold
Here for a small dataset we have used OLS(Ordiniary Least Square) and MLE(Maximum likelihood Estimation ) to calculate the regression parameters slope(b1),intercept(b0) and standard deviation of reisduals.At the end we can conclude that both the methods of estimation produces the same result.
Language: Jupyter Notebook - Size: 385 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shivangi-975/ML-and-MAP-estimation-of-poisson-distribution
MLE and MAP estimation
Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

amandaay/CS6220DataMining
Data Mining
Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

timothee-bacri/HMM_with_TMB
A gentle tutorial of accelerated parameter and confidence interval estimation for Hidden Markov Models using Template Model Builder
Language: R - Size: 47.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 1

divyat09/Weibull_Data_Fitting
Parameter estimation of Weibull Distribution
Language: Matlab - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0

JamesHotniel78/Algorithm-BFGS-in-R-Project
Binary Logistic Regression Analysis using the Broyden-Fletcher-Goldfarb-Shanno Algorithm on the Quasi-Newton Method
Language: R - Size: 41 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

oliviergimenez/multievent_jags_R
Fit multievent capture-recapture models in R (maximum-likelihood), Nimble and JAGS (Bayesian)
Language: R - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 12 - Forks: 1

sayarghoshroy/Image-Classification-Formulations
Insights and Analysis - Using Various Deep Learning Architectures on Image Classification Datasets
Language: Jupyter Notebook - Size: 8.96 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

bhaskarkvvsr/Logistic-Regression
Code for optimising an objective function
Language: Python - Size: 80.1 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

sohale/point-process-simple-example
🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood
Language: Python - Size: 212 KB - Last synced at: 1 day ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

phillipbvetter/ctsmrTMB
Fast and efficient parameter and state estimation in stochastic state space systems with Template Model Builder (TMB)
Language: R - Size: 15 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

AmitDonner/Circular-Structural-Model
The following includes all the MATLAB scripts necessary for implementing the algorithm described in the attached paper.
Language: MATLAB - Size: 3.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hanshengjiang/npmle_git
A Python package for computing NPMLE of mixture of regression
Language: Python - Size: 166 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Mephistopheles-0/maximizing_a_normal_likelihood
GitHub repository for normal likelihood maximization and plotting in R
Language: R - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

alizindari/statistical-machine-learning
implementation of some famous algorithms in statistical machine learning from scratch
Language: Jupyter Notebook - Size: 492 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

hz-zhu/NPD-micro-saccade-detection
Neyman–Pearson Detector (NPD) for saccadic eye movements
Language: C++ - Size: 761 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 2

PescadoMauro/Visual-Likelihood
Language: Jupyter Notebook - Size: 805 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

TheUnsolvedDev/ProbabilisticMadness
Statistics and Machine Learning in depth analysis with Tensorflow Probability
Language: Python - Size: 80 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

deruhat/Regression-Algorithms
Batch Gradient Descent, Stochastic Gradient Descent and Maximum Likelihood Estimation using Python.
Language: Python - Size: 584 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

donlapark/Dirichlet-Mechanism
The Dirichlet Mechanism for Differentially Private KL Divergence Minimization
Language: Jupyter Notebook - Size: 5.27 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

bio-phys/ForceSpectroscopyMLE
Analyze rupture force spectra from single-molecule force spectroscopy experiments to extract disassociation rates and parameters characterizing the free-energy profile underlying the bond.
Language: Julia - Size: 69.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

keyber/MAPSI
Implémentation d'algorithmes simples de Data Science
Language: Python - Size: 3.51 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

YuriPaglierani/Data-Analysis-Fortran
A basic program for data analysis of 1 parameter, it can be extended and optimized. Program done collaborating with Alessandro Namar
Language: Fortran - Size: 28.3 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

dirkschumacher/losep
An R package to detect seperation in binary classification models using linear programming
Language: R - Size: 65.4 KB - Last synced at: 3 days ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0
