cambridge-mlg

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

cambridge-mlg

Implementation of the Convolutional Conditional Neural Process

cambridge-mlg

The first chapters of an online textbook to support the 3F8 Inference course.

cambridge-mlg

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

cambridge-mlg

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

cambridge-mlg

Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitchison

cambridge-mlg

cambridge-mlg

cambridge-mlg

This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'

cambridge-mlg

Jupyter notebooks on inference, regression and classification for MPhil students

cambridge-mlg