Pinned Repositories
BM3D
Cpp implementation of BM3D algorithm for denoising
Brain-Net-Viewer
A Connectome Viewer for Visulisation on mesh plots
cnslab_fmri
CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans
Deep-sr-DDL
Code for Deep Generative Hybrid Model for integrating dynamic and multimodal connectomics data with behavior
ISBI_Challenge
Endoscopy Challenge 2016 ISBI
M-GCN
Code for the MIDL 2021 submission: https://openreview.net/forum?id=ud-iBiED9zb¬eId=IctPjXmbjL
Matrix-Autoencoder
Code for the MICCAI 2021 paper https://arxiv.org/pdf/2105.14409.pdf
Netflix_Challenge
Attempts to implement low rank matrix completion and clustering on the Netflix Dataset
Sparse-Solvers
A collection of Sparse Solver Implementations from http://sparselab.stanford.edu/
Stacked-Autoencoders-for-Denoising
Niharika-SD's Repositories
Niharika-SD/Stacked-Autoencoders-for-Denoising
Niharika-SD/BM3D
Cpp implementation of BM3D algorithm for denoising
Niharika-SD/ISBI_Challenge
Endoscopy Challenge 2016 ISBI
Niharika-SD/Sparse-Solvers
A collection of Sparse Solver Implementations from http://sparselab.stanford.edu/
Niharika-SD/ADIPCV
Assignments for the course Advanced Digital Image Processing and Computer Vision
Niharika-SD/AFNI
Experimenting with Matlab toolbox AFNI (Analysis of Functional Neuro Images)
Niharika-SD/Digital-Communication-Project
Mini Project for the course Digital communication
Niharika-SD/cluster_roi
Python script to perform the spatially constrained parcellation of functional MRI data as described in Craddock et al., Human Brain Mapp., 33 (9) 2012
Niharika-SD/Computer-Vision
Solutions to the assignments for the course EN.600.661
Niharika-SD/covariancetoolbox
Covariance toolbox for matlab, including riemannian geometry
Niharika-SD/cvu
Connectome visualization utility
Niharika-SD/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Niharika-SD/Denoising_Algorithms_SP
Codes from the summer project implementing image denoising algorithms
Niharika-SD/DIP
Codes from the course digital image processing Autumn 2015
Niharika-SD/dipha
Automatically exported from code.google.com/p/dipha
Niharika-SD/MedIA
Programming assignments for the course Medical Image Analysis
Niharika-SD/ML
Assignments from the Machine Learning course from Autumn 2015
Niharika-SD/ML-Coursera
Programming assignments for the Stanford course on Machine Learning by Andrew Ng
Niharika-SD/MLSP-Project
Codes for MLSP term project
Niharika-SD/opencv
Open Source Computer Vision Library
Niharika-SD/pcp
A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
Niharika-SD/Projects
:page_with_curl: A list of practical projects that anyone can solve in any programming language.
Niharika-SD/py-soft-impute
Python implementation of Mazumder and Hastie's softImpute for matrix completion
Niharika-SD/scikit-learn
scikit-learn: machine learning in Python
Niharika-SD/Sparse-Autoencoders-for-Denoising
Matlab files for sparse autoencoders used for denoising application- based off CS294a ufldl course offered by stanford online
Niharika-SD/Unsupervised-Learning
Assignments for the course Unsupervised Learning : From Big data to Lower Dimensional Representations EN 600.692