The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
-
Updated
Sep 25, 2023 - Python
#
statistical-modelling
Here are 17 public repositories matching this topic...
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
python
opencv
computer-vision
neuroscience
curve-fitting
data-analysis
multiple-sclerosis
behavior-analysis
pose-estimation
motion-tracking
gait-analysis
animal-tracking
deeplabcut
spinal-cord-injury
neuroscience-experiments
rodent-behaviors
statistical-modelling
-
Updated
Aug 30, 2024 - Python
[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
image-segmentation
variational-inference
bayesian-deep-learning
statistical-modelling
model-generalization
-
Updated
Jul 2, 2024 - Python
X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing (TPAMI 2023)
python
information-theory
image-segmentation
probabilistic-graphical-models
maximum-likelihood
mutual-information
motion-estimation
medical-image-registration
multimodal
rigid-registration
groupwise-registration
statistical-modelling
deformable-registration
-
Updated
Nov 8, 2024 - Python
statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews
r
mcmc
case-study
gibbs-sampler
beta-binomial
wine-dataset
statistical-modelling
normal-normal
rnorm
mclust
-
Updated
May 14, 2020 - R
Statistical testing with R
-
Updated
May 2, 2024 - R
This project analyzes Brent oil prices from 1987-2022, detecting structural changes and associating them with major events to provide data-driven insights for the energy industry.
python
machine-learning
eda
probability-distributions
bayesian-inference
pymc3
policy-analysis
model-comparison
statistical-modelling
bayesian-modelling
-
Updated
Jul 7, 2024 - Jupyter Notebook
A/B Hypothesis Testing.
data-science
machine-learning
dashboard
linear-regression
scikit-learn
pandas
seaborn
xgboost
matplotlib
decision-trees
model-management
cml
a-b-testing
dvc
mlops
mlflow
statistical-modelling
-
Updated
Aug 25, 2021 - Jupyter Notebook
financial data analytics using statistical modelling and machine learning techniques
-
Updated
Nov 28, 2022 - Jupyter Notebook
Industry - Casualty Challenge
modeling
statistical-learning
orchestration
statistical-analysis
statistical-modelling
causal-graph
inference-extraction
building-model-pipelines
hypothesis-formulation-and-testing
-
Updated
Aug 30, 2021 - Jupyter Notebook
financial risk management projects
-
Updated
Apr 30, 2023 - Jupyter Notebook
A general modelling framework for specifying and fitting models to empirical fundamental diagrams of road traffic, and for comparing the model fits using information criteria
traffic
gamlss
statistical-modelling
flow-density-speed-relationships
empirical-fundamental-diagrams
-
Updated
Apr 25, 2023 - R
RefInt: A curated reference interactome with true positives and negatives for benchmarking protein-protein interactions.
-
Updated
Dec 22, 2019 - R
This is a POC on regression analysis from the simplest to advanced regression model. Notable things that is done is Data Preprocessing, Data Visualization, Feature Engineering and Statistical Modelling.
-
Updated
Oct 24, 2020 - Jupyter Notebook
Highlights of my research work in MATLAB, statistical modeling of the unstructured raw data from GPS satellites for several years. Data modeling and processing, followed by different residual plots including trends and root mean square. In the end, the result was compared with independent data set models for validation purposes. The results were…
matlab
data-visualization
raw-data
data-processing
data-modeling
prediction-model
trend-analysis
unstructured-data
statistical-modelling
gps-satellites-data
-
Updated
Aug 3, 2023
This repository contains learning materials and assignments for the subject MAST90139 Statistical Modelling for Data Science
-
Updated
Apr 13, 2023
A project aimed at analysing experimental human eye data to better understand the spatiotemporal dynamics of covert attention.
python
machine-learning
neuroscience
eye-tracking
human-data
cognition
eyelink
psychopy
visual-attention
experimental-psychology
statistical-modelling
covert-attention
-
Updated
Jul 15, 2024 - Python
Improve this page
Add a description, image, and links to the statistical-modelling topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the statistical-modelling topic, visit your repo's landing page and select "manage topics."