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    59 repositories

    • aifs-tc

      Public
      Implementation of AIFS-TC
      0•1•0•0•Updated Aug 7, 2026Aug 7, 2026

    • mphil-intro-module

      Public
      Jupyter notebooks on inference, regression and classification for MPhil students
      Jupyter Notebook
      •14•55•9•1•Updated Jul 17, 2026Jul 17, 2026

    • otter

      Public
      A competitive global medium-range weather forecasting model trained in 3 days on one A100
      Python
      •
      MIT License
      •2•9•0•1•Updated Mar 5, 2026Mar 5, 2026

    • 4f13-courseworks

      Public
      Python
      •3•0•0•0•Updated Oct 28, 2025Oct 28, 2025

    • jolt

      Public
      Python
      •
      MIT License
      •3•16•0•0•Updated Sep 8, 2025Sep 8, 2025

    • Progressive-Tempering-Sampler-with-Diffusion

      Public
      Official implementation of Progressive Tempering Sampler with Diffusion (ICML 2025)
      Python
      •
      MIT License
      •0•16•0•0•Updated Aug 16, 2025Aug 16, 2025

    • tnp

      Public
      Transformer neural processes
      Python
      •
      MIT License
      •5•5•0•0•Updated Jul 8, 2025Jul 8, 2025

    • blog

      Public
      Cambridge MLG's Blog
      HTML
      •3•0•0•0•Updated Jun 12, 2025Jun 12, 2025

    • gridded-tnp

      Public
      Gridded transformer neural processes
      Python
      •
      MIT License
      •4•13•2•0•Updated Jun 9, 2025Jun 9, 2025

    • dpconvcnp

      Public
      Jupyter Notebook
      •
      MIT License
      •0•2•0•0•Updated May 8, 2025May 8, 2025

    • sgd-gp

      Public
      Public code for running Stochastic Gradient Descent on GPs.
      Python
      •
      MIT License
      •0•39•1•0•Updated Apr 23, 2025Apr 23, 2025

    • IRTracker.jl

      Public archive
      Dynamically track IR as a graph, using source transformations
      Julia
      •6•32•10•0•Updated Mar 3, 2025Mar 3, 2025

    • sgm

      Public
      experiments and code for 'A Generative Model of Symmetry Transformations' (NeurIPS 2024)
      Python
      •
      MIT License
      •0•5•0•0•Updated Nov 29, 2024Nov 29, 2024

    • 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
      •8•28•2•0•Updated Nov 6, 2024Nov 6, 2024

    • tetnp

      Public
      Translation equivariant transformer neural processes
      Python
      •
      MIT License
      •0•0•0•0•Updated Oct 29, 2024Oct 29, 2024

    • THArrays.jl

      Public
      Interface for PyTorch's C++ backend, focusing on ATen, AutoGrad, and JIT
      deep-learningjuliatorch
      deep-learningjuliatorchpytorch
      Julia
      •
      MIT License
      •5•23•4•1•Updated Oct 8, 2024Oct 8, 2024

    • learnable-qmc

      Public
      Learnable QMC with copulas and permutons :fire:
      Jupyter Notebook
      •
      MIT License
      •0•2•0•0•Updated Aug 3, 2024Aug 3, 2024

    • acp

      Public
      Implementation for the paper "Approximating full conformal prediction at scale via influence functions"
      machine-learninguncertainty-quantificationconformal-prediction
      machine-learninguncertainty-quantificationconformal-predictiontrustworthy-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"
      machine-learningresearchdeep-learning
      machine-learningresearchdeep-learningpaperuncertaintygenerative-modelneural-networkspublicationtransparencyinterpretability
      Python
      •
      MIT License
      •6•35•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)
      compressioncombinerinr
      compressioncombinerinrimplicit-neural-representationrecombinerinr-compression
      Python
      •
      MIT License
      •1•11•0•0•Updated Mar 9, 2024Mar 9, 2024

    • tp-nica

      Public
      0•0•0•0•Updated Mar 8, 2024Mar 8, 2024

    • combiner

      Public
      Python
      •
      MIT License
      •1•29•2•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-learningdeep-learningreproducible-research
      machine-learningdeep-learningreproducible-researchpytorchuncertaintyneural-networksexpectation-maximizationuncertainty-neural-networksbayesian-inferenceuncertainty-quantification
      Jupyter Notebook
      •
      MIT License
      •11•78•0•3•Updated Oct 3, 2023Oct 3, 2023

    • EinsumNetworks

      Public
      Python
      •21•53•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
      •
      MIT License
      •0•1•0•0•Updated Jul 20, 2023Jul 20, 2023
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