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advent-of-code-2021

repo for solving advent of code

automated-proof-gibbard-satterthwaite-theorem

Encoding Social Choice theorems in propositional logic to obtain automated proofs.

azamatomu

My README!

chat-analyzer

Analyze your conversations with ChatGPT to find interesting patterns and actionable learnings about your interests and your career growth.

databudget

Telegram bot for budget planning and personal finance management

finetune-llm-emails

Fine-tune an LLM on email subjects to create better content calendars.

flask

jtl_nli_and_fake_news_detection

Repository for Project 3A: "Jointly learning natural language inference and fake news detection" of the SMNLS course taught at the UvA in the Spring 2019 semester

learning-representations-from-natural-inference-task

Transfer learning on SNLI-trained encoders

machinelearninglab3

Lab 3 at UVA covering Kernel Methods

ml2-labs

Machine Learning 2 Labs

msc_thesis

Master Thesis

multi-modal_fake_news_detection_using_gcn_and_lm

This repository holds all code for our multi-modal Fake News Detection model, which combines a GCN and a LM. This model was designed and implemented in the context of the Project AI course taught at the UvA in the Spring 2019 semester

mycroft-skills

A repository for sharing and collaboration for third-party Mycroft skills development.

power-analysis-in-information-retrieval

An experiment on power analysis in information retrieval. In this notebook, we simulate click models to compare two ranking models (A/B testing) in online environment given offline metrics. Click models implemented: Random Click Model, Position-Based Model. Interleaving methods implemented: Team-Draft, Probabilistic.

runpod-email-endpoint

🚀 | A simple worker that can be used as a starting point to build your own custom RunPod Endpoint API worker.

sat-sudoku-solver

KR, UvA, MSc

speech_analyzer

talk-datafest-tbilisi-2023

Slides from talk at Datafest Tbilisi 2023 "Using data science to discover problems worth solving"

talk-pydata-amsterdam-2023

Slides from talk at PyData Amsterdam "Building true machine learning MVPs"

unsupervised-on-categorical-features

Notebook exploring how unsupervised learning works for categorical, one-hot encoded features.

uva-fact-ai-course

This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accountability, Confidentiality, and Transparency (FACT). These were implemented as part of the FACT-AI course at the University of Amsterdam.

youtube-kol-extension

youtube-summary-gpt-kol

Summarize YouTube videos in one click!