gpleiss

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

linear_operator

A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch

ai-final-project

A movie review sentiment-based summarizer

ciq_experiments

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

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

equalized_odds_and_calibration

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

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"

nnlr

Add layer-wise learning rate schemes to Torch

temperature_scaling

A simple way to calibrate your neural network.

gpleiss/efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

gpleiss/temperature_scaling

A simple way to calibrate your neural network.

gpleiss/equalized_odds_and_calibration

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

gpleiss/nnlr

Add layer-wise learning rate schemes to Torch

gpleiss/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"

gpleiss/ciq_experiments

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

gpleiss/latex_template

LaTeX template for ICML/NeurIPS/ICLR/AISTATS projects

gpleiss/linear_operator

[WIP] Demo of potential pytorch linear operator package

gpleiss/deep_Mahalanobis_detector

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

gpleiss/dotfiles

My config dotfiles

gpleiss/gp_bo_demos

Various toy demos of Gaussian processes and Bayesian optimization

gpleiss/gpleiss.github.io

gpleiss/GPyTorch-Wrapper

gpleiss/thesis

gpleiss/torch_toeplitz

gpleiss/uncertainty-baselines

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

gpleiss/aum

gpleiss/binding_energy_prediction

gpleiss/catrank

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

gpleiss/cola

Compositional Linear Algebra

gpleiss/extension-ffi

Examples of C extensions for PyTorch

gpleiss/falkon

Large-scale, multi-GPU capable, kernel solver

gpleiss/GPLVM

Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch

gpleiss/Laplace

Laplace approximations for Deep Learning.

gpleiss/notebook-proto

Jupyter prototype for my ML experiments

gpleiss/pyro

Deep universal probabilistic programming with Python and PyTorch

gpleiss/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

gpleiss/torch-proto

gpleiss/vim-config

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

gpleiss/vision

Datasets, Transforms and Models specific to Computer Vision