anriigegliuk Goto Github PK

a-little-bit-of-math

Just a little bit......

anriigegliuk

My personal Repository

ants_tbss

TBSS (FSL) implementation with ANTs and T1w registration to template

antspy

Advanced Normalization Tools in Python

atlasbrex

atlasBREX: Automated averaged template-derived brain extraction in animal MRI

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

ben_project

A generalized Brain Extraction Net for multimodal MRI data from rodents, nonhuman primates and humans

bionic_reading_python_project

brainreg-segment

Segmentation of 3D shapes in a common anatomical space

brkraw

BrkRaw: A comprehensive tool to access raw Bruker Biospin MRI data

bruker2nifti

Medical image format converter: from raw Bruker ParaVision to nifti.

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-setup

Setup instructions for Le Wagon's students on their first day of Data Science Bootcamp

deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

diagnostics-group-18

django_project_files

dke

The Diffusional Kurtosis Estimator (DKE) is software for processing Diffusional Kurtosis Imaging (DKI) data

dotfiles

Default configuration for Le Wagon's students

dsi-studio-docker

DSI Studio in a Docker container

dsi-studio-scripts

elastic-boundary-projection

Elastic Boundary Projection for 3D Medical Image Segmentation - CVPR 2019

first-pull-request

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

hyperspectral_image_classification

A complete solution to utilise both spatial and spectral information in the classification process is provided by the integration of deep CNNs with PCA for feature extraction and dimensionality reduction.

internet_usage_analysis

lecture_app

new_c

lewagon_oop_tutorial

machine-learning-by-andrew-ng-in-python

Documenting my python implementation of Andrew Ng's Machine Learning course

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mice_mri_analysis

The central task involves applying affine transformations to align these brain images with a standard anatomical space, which is essential for subsequent comparison and analysis.