vitoriapacela

vitoriapacela's Stars

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.5k2271222.9k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.8k408782.3k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k416243.3k

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.6k1954561.5k

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.7k127219943

• tensorflow/quantum

  An open-source Python framework for hybrid quantum-classical machine learning.

  Language:Python1.8k82338584

• goodfeli/dlbook_notation

  LaTeX files for the Deep Learning book notation

  Language:TeX1.7k703356

• google-research/disentanglement_lib

  disentanglement_lib is an open-source library for research on learning disentangled representations.

  Language:Python1.4k3427203

• ipython-books/cookbook-2nd

  IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

  Language:Python954487251

• jluttine/tikz-bayesnet

  TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

  Language:TeX8342811147

• hjmshi/PyTorch-LBFGS

  A PyTorch implementation of L-BFGS.

  Language:Python593132167

• cdt15/lingam

  Python package for causal discovery based on LiNGAM.

  Language:Python397115061

• sbarratt/torch_cg

  Preconditioned Conjugate Gradient in Pytorch

  Language:Python1365515

• ilkhem/icebeem

  Code for ICE-BeeM paper - NeurIPS 2020

  Language:Python872518

• facebookresearch/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.

  Language:Python71409

• hmorioka/TCL

  Time-Contrastive Learning

  Language:Python645321

• yixinwang/representation-causal-public

  Language:Jupyter Notebook432516

• joeybose/comp760_lecturenotes

  COMP760 Lecture Notes

  24405

• slachapelle/disentanglement_via_mechanism_sparsity

  Language:Jupyter Notebook17217

• MattScicluna/IFT6135_Programming

  Language:Jupyter Notebook168029

• SebastienMarmin/torch-mvnorm

  Multivariate normal CDF computation for tensors. Implementation of closed form derivatives.

  Language:Python12213

• dronir/HYposter

  beamerposter template for University of Helsinki

  Language:TeX9211

• facebookresearch/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.

  Language:Jupyter Notebook8301

• andreinicolicioiu/DCI-ES

  Language:Jupyter Notebook6110

• MattUnderscoreZhang/Triforce_CaloML

  Machine learning tool for identification of physics objects in particle detector calorimeters

  Language:Python5514

• divyat09/additive_decoder_extrapolation

  Code accompanying the paper "Additive decoders for latent variables identification and cartesian-product extrapolation"

  Language:Jupyter Notebook4103

• ahujak/WSRL

  Language:Jupyter Notebook3100

• HHalva/ccn

  Language:Jupyter Notebook3151

• dronir/NewHYposter

  New, better, LaTeX poster template for University of Helsinki

  Language:TeX2

• OlimpiadasCientificas/vida-de-olimpico

  Backup from vida de olimpico

  Language:HTML2200