This is a repo with links to everything you'd ever want to learn about data engineering

This is a repo with links to everything you'd ever want to learn about data engineering

This project builds a robust chatbot that retrieves university-related information using advanced web scraping, PDF parsing (PyPDF2), and ETL techniques. It connects large language models (LLMs) li…

Master programming by recreating your favorite technologies from scratch.

Created a Large Language Model (LLM)-based FAQs chatbot using Langchain, OpenAI API, Streamlit, and Python, achieving over 98.2% accuracy and reducing response time by 94%. Processed over 300 queri…

A simple project to understand how GitHub works (--tutorial now available on YouTube--)

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

21 Lessons, Get Started Building with Generative AI

A game theoretic approach to explain the output of any machine learning model.

explainable ML using saliency map and GRAD-CAM

[ICCV 2017] Torch code for Grad-CAM

Analysis of Skin Cancer MNIST: HAM10000

Bachelor Thesis about using attention for explaining a deep learning AI model in computer vision

Evaluation of different CNN models for the pneumonia detection task on a pediatric chest X-ray dataset.

TCC2 UnB 2/2020 - XAI techniques applied on convolutional neural network for skin lesion classification - Second phase

Implementation of post-hoc XAI methods to assess the coherence of a CNN lung malignancy classifier over different training sets

Implementation of various explainability tools

Using knowledge graph to explain CNN's behavior

Implementation of 2 XAI methods to visualize the region highlighted by the network to make a prediction

This repo contains the code for extracting explainable audio files from music by processing their Mel Spectrograms we used forlocal XAI: lIME, SHAP and for globale XAI: ALE

This repository explores the fascinating world of brain tumor classification using cutting-edge Convolutional Neural Networks (CNNs) and eXplainable Artificial Intelligence (XAI) techniques.

Explanations for VGG16 convolutional classifications using custom and lime based explainers

This repo contains a basic demo of XAI using LIME on CNN Models

Papers and code of Explainable AI esp. w.r.t. Image classificiation