Anubhav Kaphle (अनुभव काफ्ले) (AnubhavKafle)

AnubhavKafle

Geek Repo

Company:Australian e-Health Research Institute CSIRO

Location:Royal Parade, Parkville, Melbourne

Home Page:https://scholar.google.com/citations?user=B2vwpDoAAAAJ&hl=en

Twitter:@KaphleAnubhav

Github PK Tool:Github PK Tool

Anubhav Kaphle (अनुभव काफ्ले)'s repositories

Survival_analysis

Lab rotation1

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ADAM-opt-loglss

Optimization

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Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

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awesome-machine-learning

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

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awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

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blore-fa-simulation

SImulations used for B-LORE

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Lasso

Reverse regression

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Reverse-reg

Reverse regression

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comp90051-2017

Statistical machine learning at the University of Melbourne

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CTRL

Code for consent management.

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DeepCancerSignatures

This repository contains code used to build and interpret a deep learning model. It is a DNN classifier trained using gene expression data (TCGA). Then is interpreted to identify cancer specific gene expression signatures.

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Essential_GenePred_Utilis

Contains scripts for some files processing for gene expression prediction

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fpydemo

Demo for packaging command line tool written in Python and Fortran

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genomicspapers

The Leek group guide to genomics papers

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graph-theory

A simple graph library

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it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

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Lab_rotation_1_final

Code snippets used for the project

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lectures

Oxford Deep NLP 2017 course

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polyfun

PolyFun (POLYgenic FUNctionally-informed fine-mapping)

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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PRScs

Polygenic prediction via continuous shrinkage priors

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SIMLR

Single-cell Interpretation via Multi-kernel Learning (R code in master branch, Matlab code in matlab branch)

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UK_Biobank_GWAS

Overview of the data QC, code, and GWAS summary output from the 2017 UK Biobank data release

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