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andrewngmachinelearningcoursestanford

Exercises from the Machine Learning course from Coursera.

batch-effect-removal-benchmarking

The benchmarking of batch-effect correction methods (Harmony, LIGER, scDML, Scanorama) on scRNA-seq and stereo-seq datasets.

belgrade-transport-network-analysis

collaborative_filtering_via_gaussian_mixtures

courierdeliveryapp

A Java program that uses JDBC for database access, followed by a data model created using IE notation and SQL code (stored procedures and triggers). The program helps couriers plan their daily routes by finding the fastest route that connects all cities they need to visit. It also plans every delivery that should be done that day and calculates earnings and loses.

coursera-neural-networks-and-deep-learning

edocapp

genomska-informatika

genomska-informatika-1

get-started-with-jax

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

gi-2021-etf

Genome Informatics course materials, School of Electrical Engineering

gi2023_exercise2

junior-assignment

llm.c

LLM training in simple, raw C/CUDA

microjava-compiler

Students project - implementation of the compiler (lexical analyzer, parser, code generator for microJava).

mitx_6.86x

Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

ml-tutorial

Introduction to ML packages for the 6.86x course

pysam-exercise

A short introductory exercise for Pysam library

real-estate-price-prediciton

resume

svgs_detection

Spatially variable genes (SVGs) detection using Moran's I and Geary's C global statistics. Comparing results with SpaGFT algorithm for SVG discovery.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

webappforbeekeepers

Web app that helps beekeepers to manage their work and sell their products. E-Commerce app for buyers.

webappforfarmersandbuyers

Spring Boot and Angular 9 web app that simulates farmers everyday tasks: planting, watering, fertilizing, watching the plants progress and eventually harvesting them. The app notifies farmers if the temperature in the garden is too low or there is not enoguh water in the garden via email. The web shop where farmers can sell their products is also avaliable. Customers can order products and the app will calculate the average delivery time.

x86cpu

IMPLEMENTATION OF A X86 CPU PREEMPTIVE MULTITHREADING KERNEL WITH TIME SHARING