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WindShear's Projects

analytics_vidhya icon analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

šŸ§‘ā€šŸ« 60 Implementations/tutorials of deep learning papers with side-by-side notes šŸ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), šŸŽ® reinforcement learning (ppo, dqn), capsnet, distillation, ... šŸ§ 

bachelor_thesis_nanobiology icon bachelor_thesis_nanobiology

This repository contains Python scripts accompanying my Bachelor thesis in Nanobiology. In this thesis, the validity of Geant4-DNA in simulating DNA damage foci is assessed with the help of experimental irradiated U2OS nuclei.

calogan icon calogan

Snapshot of mlhep2019 caloGAN code for ecal data generation. Forked from: https://github.com/yandexdataschool/CaloGAN

datacamp_facebook_live_titanic icon datacamp_facebook_live_titanic

DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, data cleaning and machine leaning. Enjoy.

diff4rlsurvey icon diff4rlsurvey

This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

egsnrc icon egsnrc

EGSnrc toolkit for Monte Carlo simulation of ionizing radiation transport

hr_analytics icon hr_analytics

Case study on a random company assesing which factors affect it's attrition rate

kaggle-rsna icon kaggle-rsna

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

kaggle-titanic icon kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

larisk icon larisk

:exclamation:Ā ThisĀ isĀ aĀ read-onlyĀ mirrorĀ ofĀ theĀ CRANĀ RĀ packageĀ repository. LARiskĀ ā€”Ā EstimationĀ ofĀ LifetimeĀ AttributableĀ RiskĀ ofĀ CancerĀ fromĀ RadiationĀ Exposure

learn_r_and_radiation_models icon learn_r_and_radiation_models

Re-created important models and figures from the BEIR VII report to learn R and better understand important radiation biology models necessary to start my thesis project

linear_regression_live icon linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

llama2.c icon llama2.c

Inference Llama 2 in one file of pure C

madvk icon madvk

This is the code for the master thesis Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics.

microtrackgenerator icon microtrackgenerator

A Geant4 based application to generate tracks for applications in microdosimetry. Modified from the Geant4 "Microdosimetry" example.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.

models icon models

Models and examples built with TensorFlow

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