cambridge-mlg

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49 repositories

sngd
Public
Code for "Optimising Distributions with Natural Gradient Surrogates"
Python
•0•2•0•0•Updated Nov 26, 2024Nov 26, 2024
fearless-ep
Public
Code for "Fearless Stochasticity in Expectation Propagation"
Python
•0•0•0•0•Updated Nov 26, 2024Nov 26, 2024
pdediff
Public
Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
Python
•
MIT License
•1•8•1•0•Updated Nov 6, 2024Nov 6, 2024
dpconvcnp
Public
Jupyter Notebook
•
MIT License
•0•2•0•1•Updated Oct 30, 2024Oct 30, 2024
tetnp
Public
Translation equivariant transformer neural processes
Python
•
MIT License
•0•0•0•0•Updated Oct 29, 2024Oct 29, 2024
tnp
Public
Transformer neural processes
Python
•
MIT License
•2•1•0•0•Updated Oct 27, 2024Oct 27, 2024
sgd-gp
Public
Public code for running Stochastic Gradient Descent on GPs.
Python
•
MIT License
•0•34•1•0•Updated Oct 26, 2024Oct 26, 2024
mphil-intro-module
Public
Jupyter notebooks on inference, regression and classification for MPhil students
Jupyter Notebook
•11•45•8•0•Updated Oct 8, 2024Oct 8, 2024
blog
Public
Cambridge MLG's Blog
HTML
•3•0•0•0•Updated Oct 2, 2024Oct 2, 2024
acp
Public
Implementation for the paper "Approximating full conformal prediction at scale via influence functions"
machine-learning uncertainty-quantification conformal-prediction trustworthy-machine-learning
Jupyter Notebook
•
MIT License
•1•11•0•0•Updated Apr 25, 2024Apr 25, 2024
CLUE
Public
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
research paper uncertainty generative-model neural-networks publication transparency interpretability counterfactual latent-space
Python
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MIT License
•5•36•1•0•Updated Apr 23, 2024Apr 23, 2024
melloo
Public
Python
•0•0•0•0•Updated Mar 30, 2024Mar 30, 2024
RECOMBINER
Public
Pytorch Implementation of INR-based codec RECOMBINER (Robust and Enhanced Compression with Bayesian Implicit Neural Representations)
compression combiner inr implicit-neural-representation recombiner inr-compression
Python
•
MIT License
•1•7•0•0•Updated Mar 9, 2024Mar 9, 2024
tp-nica
Public
0•0•0•0•Updated Mar 8, 2024Mar 8, 2024
combiner
Public
Python
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MIT License
•1•22•1•0•Updated Mar 5, 2024Mar 5, 2024
dp-few-shot
Public
Code for: "On the Efficacy of Differentially Private Few-shot Image Classification" published in TMLR 12/2023.
Python
•
MIT License
•1•7•0•0•Updated Dec 19, 2023Dec 19, 2023
DUN
Public
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
machine-learning deep-learning reproducible-research pytorch uncertainty expectation-maximization uncertainty-neural-networks bayesian-inference uncertainty-quantification variational-inference
Jupyter Notebook
•
MIT License
•11•72•0•3•Updated Oct 3, 2023Oct 3, 2023
EinsumNetworks
Public
Python
•21•50•4•1•Updated Aug 22, 2023Aug 22, 2023
hill-mixup
Public
JavaScript
•0•2•0•0•Updated Jul 30, 2023Jul 30, 2023
AIUK2023-Turing
Public
Camera-ready demos for the AI UK event, Mar. 2023 @ the Alan Turing Institute.
Python
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MIT License
•0•1•0•0•Updated Jul 20, 2023Jul 20, 2023
pac-bayes-tightness-small-data
Public
Code accompanying the paper "How Tight Can PAC-Bayes be in the Small Data Regime?" by Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, and Richard E. Turner (2021)
Python
•0•6•1•0•Updated Jul 4, 2023Jul 4, 2023
neural_diffusion_processes
Public
Jupyter Notebook
•1•13•2•0•Updated Jun 13, 2023Jun 13, 2023
cifar-10s
Public
HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator
Jupyter Notebook
•1•10•1•0•Updated Nov 1, 2022Nov 1, 2022
weighted-retraining
Public
Jupyter Notebook
•
MIT License
•12•42•0•0•Updated Oct 30, 2022Oct 30, 2022
sampled-laplace
Public
Jax implementation for the paper "Sampling-based inference for large linear models, with application to linearised Laplace"
Python
•
MIT License
•1•6•1•0•Updated Oct 10, 2022Oct 10, 2022
fit
Public
Python
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MIT License
•3•11•0•0•Updated Jun 20, 2022Jun 20, 2022
MindSpore.jl
Public
C++
•0•0•2•0•Updated May 12, 2022May 12, 2022
Bayes-DIP
Public
Code for the paper "A Probabilistic Deep Image Prior for Computational Tomography"
MIT License
•0•0•0•0•Updated Feb 19, 2022Feb 19, 2022
adv-fsl
Public
Repo for adversarial few-shot learning experiments.
Python
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MIT License
•0•0•0•0•Updated Feb 1, 2022Feb 1, 2022
online_textbook
Public
An interactive textbook on probabilistic models and inference
Jupyter Notebook
•0•5•0•0•Updated Dec 14, 2021Dec 14, 2021