Dani Barrejon (dbarrejon)

dbarrejon

Geek Repo

Company:Universidad Carlos III de Madrid

Location:Madrid

Home Page:https://dbarrejon.github.io/

Twitter:@danibarrejon

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Dani Barrejon's starred repositories

ddsp

DDSP: Differentiable Digital Signal Processing

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AudioSignalProcessingForML

Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

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generating-melodies-with-rnn-lstm

Repo with code and slides for the "Generating Melodies with RNN-LSTM" YouTuve series.

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generativemusicaicourse

Resources for the Generative Music AI Course on The Sound of AI YouTube channel.

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fiftyone

The open-source tool for building high-quality datasets and computer vision models

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ml-calibration

relplot: Utilities for measuring calibration and plotting reliability diagrams

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open-interpreter

A natural language interface for computers

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shieldXL

A rework/remix of the monome norns shield

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courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

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MIMIC-IV-Data-Pipeline

A customizable pipeline for data extraction from MIMIC-IV.

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pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

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ltt

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

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phd-thesis

Source code for my PhD thesis: Backpropagation Beyond the Gradient

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puncc

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

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evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

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kaggle-computer-vision-competition

In this competition, we are given the images of a handwritten Bengali grapheme and are challenged to separately classify three constituent elements in the image: grapheme root, vowel diacritics, and consonant diacritics. This is the combined effort to build a pipeline in PyTorch and to have modular state of the art image classification code. WIP

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Multi_L2D

Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]

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observations

Tools for loading standard data sets in machine learning

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kaobook

A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.

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arxiv-collector

A little Python script to collect LaTeX sources for upload to the arXiv.

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safecolours

Some latex definitions for colour-blind safe colours

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human_ai_deferral

Human-AI Deferral Evaluation Benchmark (Learning to Defer) AISTATS23

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improve-expert-predictions-conformal-prediction

Code for "Improving Expert Predictions with Prediction Sets" , ICML 2023

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fortuna

A Library for Uncertainty Quantification.

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MIMIC_Extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

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Shi-VAE

Shi-VAE: Sequential Heterogeneous Incomplete VAE

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PRML

PRML algorithms implemented in Python

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