Pinned Repositories
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
resume
WebAppForBeekeepers
Web app that helps beekeepers to manage their work and sell their products. E-Commerce app for buyers.
aleksstan96's Repositories
aleksstan96/collaborative_filtering_via_gaussian_mixtures
aleksstan96/AndrewNgMachineLearningCourseStanford
Exercises from the Machine Learning course from Coursera.
aleksstan96/Batch-Effect-Removal-Benchmarking
The benchmarking of batch-effect correction methods (Harmony, LIGER, scDML, Scanorama) on scRNA-seq and stereo-seq datasets.
aleksstan96/Belgrade-Transport-Network-Analysis
aleksstan96/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.
aleksstan96/Coursera-Neural-Networks-and-Deep-Learning
aleksstan96/EDocApp
aleksstan96/genomska-informatika
aleksstan96/genomska-informatika-1
aleksstan96/resume
aleksstan96/WebAppForBeekeepers
Web app that helps beekeepers to manage their work and sell their products. E-Commerce app for buyers.
aleksstan96/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.
aleksstan96/gi-2021-etf
Genome Informatics course materials, School of Electrical Engineering
aleksstan96/GI2023_Exercise2
aleksstan96/Junior-Assignment
aleksstan96/llm.c
LLM training in simple, raw C/CUDA
aleksstan96/MicroJava-Compiler
Students project - implementation of the compiler (lexical analyzer, parser, code generator for microJava).
aleksstan96/MITx_6.86x
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
aleksstan96/ml-tutorial
Introduction to ML packages for the 6.86x course
aleksstan96/Pysam-Exercise
A short introductory exercise for Pysam library
aleksstan96/Real-Estate-Price-Prediciton
aleksstan96/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.
aleksstan96/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
aleksstan96/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.
aleksstan96/x86CPU
IMPLEMENTATION OF A X86 CPU PREEMPTIVE MULTITHREADING KERNEL WITH TIME SHARING