Pablo Flores's starred repositories
swa_gaussian
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
torch-uncertainty
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
monte-library
Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
bdl-benchmarks
Bayesian Deep Learning Benchmarks
bayes-by-backprop
" Weight Uncertainty in Neural Networks"
cosmo-nets
Cosmological informed neural networks examples
doesnt-follow-back
A mini project that shows whom doesn't follow you back on Github
openfoodfacts-server
Open Food Facts database, API server and web interface - 🐪🦋 Perl, CSS and JS coders welcome 😊 For helping in Python, see Robotoff or taxonomy-editor
vscode-math-to-image
📐 Render LaTeX math equations in any Markdown file!
lm-spanish
Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).
neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.