Vitória Barin Pacela's starred repositories
PlotNeuralNet
Latex code for making neural networks diagrams
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
dlbook_notation
LaTeX files for the Deep Learning book notation
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
cookbook-2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
tikz-bayesnet
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
PyTorch-LBFGS
A PyTorch implementation of L-BFGS.
disentangling-correlated-factors
A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.
comp760_lecturenotes
COMP760 Lecture Notes
torch-mvnorm
Multivariate normal CDF computation for tensors. Implementation of closed form derivatives.
quantized_identifiability
Repository for the code associated with the paper "On the Identifiability of Quantized Factors" by Vitória Barin-Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent, Conference on Causal Learning Reasoning (CLeaR), 2024.
Triforce_CaloML
Machine learning tool for identification of physics objects in particle detector calorimeters
additive_decoder_extrapolation
Code accompanying the paper "Additive decoders for latent variables identification and cartesian-product extrapolation"
NewHYposter
New, better, LaTeX poster template for University of Helsinki
vida-de-olimpico
Backup from vida de olimpico