zehsilva

probai-2022

Materials of the Nordic Probabilistic AI School 2022.

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)

poissonmf_cs

Code for "Content-Based Social Recommendation with Poisson Matrix Factorization" (ECML-PKDD 2017)

prior-predictive-specification

Techniques for setting of hyperparameters of hierarchical models using the prior predictive distribution of the model

py-ivector-lsh

LSH for i-vector similarity search in biometric applications

recsys-deeplearning-info

Awesome papers / frameworks / libraries focus on recsys on deep learning.

sparse-poisson-factorization

Poisson Matrix and Tensor Factorization with sparse input and internal representations

util-scripts

some utilities

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)

zehsilva/util-scripts

some utilities

zehsilva/prior-predictive-specification

Techniques for setting of hyperparameters of hierarchical models using the prior predictive distribution of the model

zehsilva/awesome-mlss

List of summer schools in machine learning + related fields across the globe

zehsilva/benchpress

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

zehsilva/blackjax

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

zehsilva/collab-creatures

Analyzing animal collaboration with Bayesian and causal inference.

zehsilva/deeplearningcourse

zehsilva/dspy

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

zehsilva/FunFact

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

zehsilva/GflowNets_Tutorial

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

zehsilva/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.

zehsilva/hfppl

Probabilistic programming with HuggingFace language models

zehsilva/HiTab

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

zehsilva/imputeme2

zehsilva/LLaMPPL

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

zehsilva/MSML21_BayesianNODE

zehsilva/probai-2021

Materials of the Nordic Probabilistic AI School 2021.

zehsilva/probai-2021-pyro

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

zehsilva/probai-2022

Materials of the Nordic Probabilistic AI School 2022.

zehsilva/Regularized_autoencoders-RAE-

zehsilva/Teaching-Kids-Programming

Teaching Kids Programming

zehsilva/test-orchest-pipeline

zehsilva/torchdiffeq

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

zehsilva/torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

zehsilva/uvadlc_notebooks

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

zehsilva/videos

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

zehsilva/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/zehsilva.github.io

zehsilva/zipbn

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