niko047 Goto Github PK

blackboard-recordings-download

This code allows you (given valid credentials and a course code) to download lectures from the blackboard platform, and eventually store them automatically inside a Google Drive.

booking-seats-http-requests

In this project I make use of Python to book seats in my university automatically, and I do so by fully exploiting the power of ObjectOrientedProgramming and the python module Requests, to send organic HTTP requests with customized information to the University's API. I eventually use Multiprocessing to parallelize the booking of multiple user IDs, and the schedule module allowing it to run continuously in a remote machine connected to a wifi network.

chesspy

In this project I try to use OOP to build a chessboard in python, which at a later stage is going to be used for training a Deep-Q Reinforcement Learning algorithm.

computer-science-in-rust

Implementation in rust of common data structures and algorithms used in CS for learning purposes.

covid-data-science

Data Science on Covid related topics to extract useful and peculiar insights.

crypto-efficient-asset-management

This repo contains the final project for the class Finance with Big Data, as part of the MSc in Data Science @ Bocconi University. The project consist of a smart contract which serves as a pool of funds that are allocated between different ERC-20 tokens using off-chain Markowitz portfolio optimization. In order to implement the optimization, the smart contract will communicate with a DEX and buy/sell ETH-based fixed rate lending/borrowing as risk-free assets.

directorymapping

Simple Rust powered command line tool to map out directories and files in a recursive manner

genkidama

gibbs-sampler-and-metropolis-hastings-algorithms-analysis

During my Statistics studies, alongside my colleagues I've written from scratch a version of the Gibbs Sampler and a version of the Metropolis Hastings algorithm. Subsequent to the python code, we've analyzed the results obtain in a report and matched them against the relevant literature at the time.

implementation-ml-algorithms

Implementation of classical ML algorithms from scratch, allowing only some basic functions of efficient libraries like numpy, tensorflow and pandas.

logo_detection

machine-learning-algorithms-specifics

In this depository I will upload different notebooks I've written through my studies of ML algorithms. I often go beyond the shallow aspects of practice and I try to combine in a fair amount of detail the mathematics behind them, their purpose, their limitations and their strength. For each algorithm I also provide a practical case in which the algorithm is used, I also try to explain its most important parameters or options.

motiondetection

niko047

RaspPi projects

nlp-analysis-of-segregation-in-north-carolina

NLP Analysis of two texts from the Library of Congress, containing 175 interviews of ex-slaves of the segregation (1800's) in the State of North Carolina.

nlp-and-classification-on-recipes

In this project we make extensive use of NLP techniques to analyze a dataset provided by Kaggle, providing us with lots of recipes with their title, their ingredients (and amounts) and directions.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

react-gh-pages

rebeccaplzsolveme

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rustneuralnet

Learning Rust by coding a toy Neural Net with it.

sequantial-monte-carlo

This repo aims at providing a comprehensive analysis of the algorithm Sequantial Monte Carlo, main assignment of a class of mine from a PhD course in Computational Statistics.

shardana

stock-market

Python code Stock market

todoey

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors