martinagvilas

tutorial-jupyterbook-with-turing-way

A draft of the JupyterBook / The Turing Way tutorial for the JupyterCon 2020

vit-cls_emb

Accompanying code for "Analyzing Vision Tranformers in Class Embedding Space" (NeurIPS '23)

ML-Vis-BrainHack-2021

Tutorials on introduction to Machine Learning and Visualization in Python

brainhackers-deloitte

Repository for the brainhackers team solution to the Deloitte challenge at HerHackathon 2021

concept-based-explanation

Example notebooks on how to create concept based explanations of deep neural networks.

DatGen

A web application for creating your own image dataset

fsk-multimodal

inferactively

A Python implementation of active inference for Markov Decision Processes

martinagvilas.github.io

My personal website

sktime

A unified toolbox for machine learning with time series

academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

captum

Model interpretability and understanding for PyTorch

cli

Command line interface for the book project (may eventually be jupyter-book)

CompEnv-Ex1

Exercise using Binder to explore different computational environments

Curriculum

docstring_notebooks

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

modAL

A modular active learning framework for Python

my_online_book

MyST-Parser

An extended commonmark compliant parser, with bridges to docutils/sphinx

net2brain

pandanistas.github.io

pandanistas_sprint_berlin2020

py-bottom-up-attention

PyTorch bottom-up attention with Detectron2

repcone

Identifying and measuring reproducible research practices in Cognitive Computational Neuroscience

scikit-learn

scikit-learn: machine learning in Python

tedana

TE-dependent analysis of multi-echo fMRI

the-turing-way

Host repository for The Turing Way: a how to guide for reproducible data science

VL-grounding-abstract-concepts

worldwide-sprint-2020

Website of the worldwide pandas sprint, June 20th, 2020