gpleiss

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

temperature_scaling

A simple way to calibrate your neural network.

equalized_odds_and_calibration

Code and data for the experiments in "On Fairness and Calibration"

nnlr

Add layer-wise learning rate schemes to Torch

limits_of_large_width

Code to reproduce the experiments from our NeurIPS 2021 paper " The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective"

ciq_experiments

Code to reproduce the experiments in "Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization"

latex_template

LaTeX template for ICML/NeurIPS/ICLR/AISTATS projects

linear_operator

[WIP] Demo of potential pytorch linear operator package

deep_Mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

dotfiles

My config dotfiles

gp_bo_demos

Various toy demos of Gaussian processes and Bayesian optimization

gpleiss.github.io

GPyTorch-Wrapper

thesis

torch_toeplitz

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

aum

binding_energy_prediction

catrank

Pretrained models for the ranking task described in Cats and Captions vs. Creators and the Clock (WWW 2017)

cola

Compositional Linear Algebra

extension-ffi

Examples of C extensions for PyTorch

falkon

Large-scale, multi-GPU capable, kernel solver

GPLVM

Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch

Laplace

Laplace approximations for Deep Learning.

notebook-proto

Jupyter prototype for my ML experiments

pyro

Deep universal probabilistic programming with Python and PyTorch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

torch-proto

vim-config

I don't know why you'd want to use my prefs, but just in case you do...

vision

Datasets, Transforms and Models specific to Computer Vision