Xavier Gonzalez's repositories
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.
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.
cfos
Semi-NMF for cFos data
cheatsheets
Quick lookup documents for commonly used tools
ci_demo
Demonstration of setting up continuous integration for a Python project
conformal
Tools for conformal inference in regression
counterfactual
Counterfactual modeling, evaluation and fairness
cqr
Conformalized Quantile Regression
DataShapley
Data Shapley: Equitable Valuation of Data for Machine Learning
geotorch
A library for constrained optimization and manifold optimization for deep learning
ifl-tpp
Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
metro
Metropolized knockoff sampling
neural-tangents
Fast and Easy Infinite Neural Networks in Python
Optimization-on-Stiefel-Manifold-via-Cayley-Transform
Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
pytorch-hessian-eigenthings
Efficient PyTorch Hessian eigendecomposition using the Hessian-vector product and stochastic power iteration
smoothing
Provable adversarial robustness at ImageNet scale
StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
stiefel_networks
Exploring the expressive power of neural networks with linearities constrained to the Steifel manifold.