zehsilva

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

benchpress

A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.

blackjax

BlackJAX is a sampling library designed for ease of use, speed and modularity.

collab-creatures

Analyzing animal collaboration with Bayesian and causal inference.

deeplearningcourse

dspy

DSPy: The framework for programming—not prompting—foundation models

FunFact

Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.

GflowNets_Tutorial

GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling

gpt-neo

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

hfppl

Probabilistic programming with HuggingFace language models

HiTab

[ACL 2022] A hierarchical table dataset for question answering and data-to-text generation.

imputeme2

LLaMPPL

A domain-specific probabilistic programming language for modeling and inference with language models

MSML21_BayesianNODE

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.

Regularized_autoencoders-RAE-

Teaching-Kids-Programming

Teaching Kids Programming

test-orchest-pipeline

torchdiffeq

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

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022

videos

Code for the manim-generated scenes used in 3blue1brown videos

xPINNs

when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/10.1016/j.cma.2022.115346

zehsilva.github.io

zipbn

Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks (NeurIPS 2020)