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aco

Capacited Vehicle Routing Problem solved using Ant Colony Optimization algorithm in Python.

apperception

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bike-sharing-rides

Here is my neural network I built as a Project 1 for Deep Learning Foundations course at Udacity. The network is pretty basic, it consist of the input layer, one hidden layer with 2 hidden nodes and the output layer with an activation function f(x) = x. Feel free to play around with hyperparameters or optimize it futher.

brain-tokyo-workshop

🧠🗼

discrete-simulation-postal-service

A solution verifier for optimizing postal service logistics in a 32x32 grid world. This C# project focused on designing an efficient postal network with minimal truck usage while maintaining delivery times, demonstrating skills in discrete simulation and algorithmic problem solving.

esca-detection

This repository hosted the code we used in Save the Vineyard! Hackathon 2018 organised by Eastcode Sessions.

knapsack-evolution

Knapsack Problem solved using evolutionary algorithm in Python.

ml4g-mff

The repository contains my solutions to the assignments from the 2023 Machine Learning for Greenhorns course @ MFF UK.

modin

Modin: Speed up your Pandas workflows by changing a single line of code

nfa2dfa

A Haskell program for converting (λ)-NFA to a minimized DFA.

tensorflow-in-a-nutshell

The repo for the fast and easy guide to the most popular deep learning framework in the world.

tensorflowonspark

TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters

vatic

An extension to original vatic tools for human action labeling. vatic is an online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets. Written in Python + C + Javascript, vatic is free and open-source software.

visual-search

Visual search is a cognitive task that involves finding a target object within a complex visual scene. In this task, individuals are required to scan a visual display that contains multiple items to identify a target object that matches a specific criterion. The aim of the experiment is to measure the efficacy of visual search.