SpyrosMouselinos

BRITSTF2

A Tensorflow 2 Implementation of the NEURIPS 2018 BRITS Paper

MiniAnnotator

A quick GUI transcription annotator tool with categories and subcategories.

CV

Spyridon Mouselinos' CV page

AgentSims

AgentSims is an easy-to-use infrastructure for researchers from all disciplines to test the specific capacities they are interested in.

beginners-typescript-tutorial

An interactive TypeScript tutorial for beginners

BioHW

DataMiningUW

Notes for the course

drawdata

Draw datasets from within Jupyter.

forestOfThoughts

GeometryAgents

This repository contains the datasets and evaluation code for the work "Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models"

IEEE-BigData-2024-Cup

Code for IEEE BigData 2024 Cup: Predicting Chess Puzzle Difficulty

IsarStep

Code and dataset for the paper "IsarStep: a Benchmark for High-level Mathematical Reasoning"

langadaptprompt

Lecture-materials

mathematics_dataset

This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

mindiffusion

Repository of lessons exploring image diffusion models, focused on understanding and education.

minimal_demo

Model-Selection-Reasoning

Model Selection with Large Language Models for Reasoning (EMNLP2023 Findings)

monobox

An ad-free, lightweight music player that lets you play music from your local library on your mobile device.

obsidian2cosma

Convert Obsidian vaults to collection of notes readable by Cosma and Zettlr

PAO

PAO: Project Adapt Overcome

picotron

Minimalistic 4D-parallelism distributed training framework for education purpose

PIXIU

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

Production-Ready-Instruction-Finetuning-of-Meta-Llama-3.2-3B-Instruct-Project

🎋🌿🌟 Instruction Fine-Tuning of Meta Llama 3.2-3B Instruct on Kannada Conversations 🌟🌿🎋 Tailoring the model to follow specific instructions in Kannada, enhancing its ability to generate relevant, context-aware responses based on conversational inputs. 🚀✨ Using the Kannada Instruct dataset for fine-tuning! Happy Finetuning🎇🎉

RKM

Deponejo por rapida kaj malpura deplojo de profunda lernado-modeloj por mia idiota estro, kiu volas, ke mi estu plena stakprogramisto.

Simulacra

Code to run the multi-agent experiments

Simulacra-LLM

transformer_generalization

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

VaePaster

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.