- guelph
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19:26
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Stars
Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.
This repository contains code and resources for a machine learning project focused on predicting house prices. The project involves data preprocessing, model training using various algorithms, and …
Explore this repo for a big data-driven project involves exploratory data analysis and salary prediction for the global job market from 2021 to 2023, encompassing over 1.6 million records. Using Py…
Building an explainable Twitter list recommendation
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social …
This application provides an IELTS writing examiner telegram bot based on ChatGPT
masud-technope / CSrankings
Forked from emeryberger/CSrankingsA web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Atlas of Digital Pathology for Deep Learning [CVPR2019]
Exploiting Explainable Metrics for Augmented SGD [CVPR2022]
Computer Science II documents and materials
An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
A simple Diffusion Probabilistic Model from scratch in PyTorch. The model was trained on Oxford flowers dataset
This repository contains my projects in the context of the "Computational Intelligence" course (held at FUM).
This system employs various properties of a real blockchain system such as Transact, Mine, Gossip, and Receive.
Train Multi Neural Gas (MNG) from scratch in Python. This repo is result of our joint work (Ilaha Manafova & I) for the "Technical Neural Networks" course held at the University of Bonn.
Train Perceptrons, MLPs, and RBFs by applying Delta rule. This repo is result of our joint work (Ilaha Manafova & I) for the "Technical Neural Networks" course held at the University of Bonn.
Data Mining course project on UVA website
Living Neural implements the simplest form of a neural automata and renders the output using OpenGL.
A multi-key hash table for JavaScript.
Some bash scripts to make life easier while working with openstack