christos99 Goto Github PK

custom_hummingbot_hfctb_dsl

This tool generates custom trading strategies for Hummingbot by transforming domain-specific language (DSL) specifications into executable Python code. It uses a TextX metamodel to parse .strategy files and then renders these into Python scripts through Jinja2 templates.

downloads_automation_script

A simple and efficient Python script designed to declutter and organize your macOS Downloads folder. It automatically sorts files into designated directories based on file extensions and can be configured to run as a background service using `launchd`.

expense-tracker

Expense Tracker is a simple Python application designed to help you track your expenses and manage your budget. It allows you to record your daily expenses, categorize them, and monitor your spending to stay within your budget.

gem5_architectural_synthesis_and_power_analysis_suite

A 3 parts project for Computer Architecture class that involves basic to extended gem-5 simulation and intergration with McPAT for In-depth Power Analysis in Computer Architecture.

hummingbot_dsl

This is a project that goals to create a custom DSL using YAML so the process of designing and implementing a strategy becomes much easier.

mnist-neural-network-exploration-from-sequential-builds-to-automated-experiments

nearest-neighbor-classifier-performance-comparison

This project involves developing a program in any desired programming language to compare the performance of the k-nearest neighbor classifier with 1 and 3 nearest neighbors against the performance of the centroid-based classifier. The program will read training and test data from a selected database and evaluate the accuracy of the classifiers.

smart_traffic_management_database

A small project creating a Database on MySQL which contains data from a smart traffic management system.

svm-classification-of-cifar-10-images-with-linear-kernel-and-varying-c-parameter

Basic training Algorithm Support Vector Machine for the classification of images from CIFAR-10 data set using a linear kernel and different values for c parameter.