Kosti (kgourgou)

kgourgou

Geek Repo

Home Page:kgourgou.me

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Kosti's repositories

machine-learning-zettelkasten

Insert backlinks to markdown documents by using sklearn and cosine similarity.

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AVATAR

Official code of our work, AVATAR: A Parallel Corpus for Java-Python Program Translation.

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awesome-deeplogic

A collection of papers of neural-symbolic AI (mainly focus on NLP applications)

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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itermplot

An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

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knn-transformers

PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

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micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

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minDiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

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multiverse

MultiVerse: Probabilistic Programming Language for Causal Reasoning

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neospace

My own edits to this config for neovim.

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pioupiou

Pioupiou 🐤, the nano PPL

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pymaze

A maze generator, solver and visualizer for Python.

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verlet-on-a-maze

Verlet. On a maze. Yes.

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chatarena

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

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evaporate

This repo contains data and code for the paper "Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes"

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gibbs-sampler-neural-networks

Gibbs sampler for neural network posteriors

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LLaMPPL

A domain-specific probabilistic programming language for modeling and inference with language models

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MultirateTrainingOfNNs

Supplement code to our ICML 2022 paper on Multirate Training of Neural Networks

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otdd

Optimal Transport Dataset Distance

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quinine

A library to create and manage configuration files, especially for machine learning projects.

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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small-text

Active Learning for Text Classification in Python

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