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All about the grind
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All about the grind
  • National Technical University of Athens
  • Portugal
  • 07:35 (UTC +02:00)

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14 stars written in Jupyter Notebook
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Jupyter Notebook 24,045 2,791 Updated Dec 11, 2025

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

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A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

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Sionna: An Open-Source Library for Research on Communication Systems

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Jupyter Notebook 661 88 Updated Sep 17, 2025

Simulation framework for accelerating research in Private Federated Learning

Jupyter Notebook 347 39 Updated Oct 24, 2025

Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.

Jupyter Notebook 260 32 Updated Sep 5, 2024

Graph Neural Network Tutorial

Jupyter Notebook 196 49 Updated Jun 24, 2020
Jupyter Notebook 115 37 Updated Mar 20, 2022

Comparing retrieval abilities from GPT4-Turbo and a RAG system on a toy example for various context lengths

Jupyter Notebook 35 3 Updated Dec 1, 2023

Understanding and implementing NLP and CV libraries with ML standpoint.

Jupyter Notebook 19 8 Updated Dec 12, 2025

A machine learning-based solution for real-time resource allocation in the cloud (Time-series forecasting)

Jupyter Notebook 9 3 Updated Jul 7, 2021

Simulation code for “On the Optimal Performance of Distributed Cell-Free Massive MIMO with LoS Propagation” by Noor Ul Ain, Lorenzo Miretti, Slawomir Stanczak, IEEE Wireless Communications and Netw…

Jupyter Notebook 4 Updated Apr 15, 2025
Jupyter Notebook 3 1 Updated May 10, 2025