Azamat Omuraliev's repositories
talk-pydata-amsterdam-2023
Slides from talk at PyData Amsterdam "Building true machine learning MVPs"
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.
talk-datafest-tbilisi-2023
Slides from talk at Datafest Tbilisi 2023 "Using data science to discover problems worth solving"
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.
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
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.
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
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-summary-gpt-kol
Summarize YouTube videos in one click!