xaviergonzalez

bert

TensorFlow code and pre-trained models for BERT

Beta-VAE

Pytorch implementation of β-VAE

beta_shapley

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)

biopython

Official git repository for Biopython (converted from CVS)

blip_sims

Simulations for BLiP paper.

brainkernel

cfos

Semi-NMF for cFos data

cheatsheets

Quick lookup documents for commonly used tools

msigdb_decomp

Different NMF algorithms

Symbolic-Metamodeling

Code for the NeurIPS 2019 paper: "Demystifying Black-box Models with Symbolic Metamodels", by A. M. Alaa and M. van der Schaar.

xaviergonzalez/Symbolic-Metamodeling

Code for the NeurIPS 2019 paper: "Demystifying Black-box Models with Symbolic Metamodels", by A. M. Alaa and M. van der Schaar.

xaviergonzalez/bert

TensorFlow code and pre-trained models for BERT

xaviergonzalez/Beta-VAE

Pytorch implementation of β-VAE

xaviergonzalez/beta_shapley

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)

xaviergonzalez/biopython

Official git repository for Biopython (converted from CVS)

xaviergonzalez/blip_sims

Simulations for BLiP paper.

xaviergonzalez/brainkernel

xaviergonzalez/cfos

Semi-NMF for cFos data

xaviergonzalez/cheatsheets

Quick lookup documents for commonly used tools

xaviergonzalez/ci_demo

Demonstration of setting up continuous integration for a Python project

xaviergonzalez/conformal

Tools for conformal inference in regression

xaviergonzalez/counterfactual

Counterfactual modeling, evaluation and fairness

xaviergonzalez/cqr

Conformalized Quantile Regression

xaviergonzalez/data_public

xaviergonzalez/DataShapley

Data Shapley: Equitable Valuation of Data for Machine Learning

xaviergonzalez/deep_ssm

xaviergonzalez/geotorch

A library for constrained optimization and manifold optimization for deep learning

xaviergonzalez/ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

xaviergonzalez/L2X

xaviergonzalez/metro

Metropolized knockoff sampling

xaviergonzalez/neural-tangents

Fast and Easy Infinite Neural Networks in Python

xaviergonzalez/Optimization-on-Stiefel-Manifold-via-Cayley-Transform

Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform

xaviergonzalez/OxRSE_course

xaviergonzalez/paradigms

PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight

xaviergonzalez/pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition using the Hessian-vector product and stochastic power iteration

xaviergonzalez/smoothing

Provable adversarial robustness at ImageNet scale

xaviergonzalez/StemGNN

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

xaviergonzalez/stiefel_networks

Exploring the expressive power of neural networks with linearities constrained to the Steifel manifold.

xaviergonzalez/test

xaviergonzalez/understandingbdl