rvangara Goto Github PK

clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

colossalai

Making large AI models cheaper, faster and more accessible

dnmfk

A C++ framework of Distributed Non-Negative Matrix Factorization implementation to find Latent Dimensionality in Big Data

generative-ai-with-large-language-models-coursera

Notes and coding notebooks of Coursera course - Generative AI with Large Language Models (LLMs)

openslide

C library for reading virtual slide images

prmlt

Matlab code for machine learning algorithms in book PRML

pydnmfk

Python Distributed Non Negative Matrix Factorization with custom clustering

pydntnk

Python Distributed Non Negative Tensor Networks

pyhnmfk

The identification of sources of advection-diffusion transport is based usually on solving complex ill-posed inverse models against the available state-variable data records.

rvangara

My Personal Github repo

same-size-k-means-clustering

This is a variation of the k-means clustering that produces equally sized clusters.

signatureanalyzer-gpu

GPU implementation of ARD NMF

sigprofilerassignment-self

Assignment of known mutational signatures to individual samples and individual somatic mutations

sigprofilerextractor

SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.

stable-diffusion-text-to-image

A latent text-to-image diffusion model

starter-research-group

tramonto

Primary source code repository for the nanoscience code Tramonto.