xaviergonzalez Goto Github PK

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

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

cs181-s18-homeworks

data_public

datashapley

Data Shapley: Equitable Valuation of Data for Machine Learning

geotorch

A library for constrained optimization and manifold optimization for deep learning

git-demo

A quick demo of Git for CS51 code review!

ifl-tpp

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

l2x

metro

Metropolized knockoff sampling

msigdb_decomp

Different NMF algorithms

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

oxrse_course

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

scikit-learn

scikit-learn: machine learning in Python

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.