Eliezer Silva's repositories
autodidatico
reposity to track my learning of different topics. Each folder will have a broad topic of interest and documents (.md, notebooks , code and pdfs)
util-scripts
some utilities
prior-predictive-specification
Techniques for setting of hyperparameters of hierarchical models using the prior predictive distribution of the model
awesome-mlss
List of summer schools in machine learning + related fields across the globe
GflowNets_Tutorial
GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling
Neural-Manifold-Ordinary-Differential-Equations
[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
probai-2021
Materials of the Nordic Probabilistic AI School 2021.
probai-2021-pyro
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
probai-2022
Materials of the Nordic Probabilistic AI School 2022.
Teaching-Kids-Programming
Teaching Kids Programming
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022