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@vsingh-group Singh Group @ University of Wisconsin Madison

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    59 repositories

    • FrameQuant

      Public
      Python
      •0•4•1•0•Updated Aug 11, 2024Aug 11, 2024

    • oinr

      Public
      Code for ICML 24 paper "Implicit Representations via Operator Learning"
      learningbrain-imaginginrneural-operator
      Python
      •
      MIT License
      •2•6•0•0•Updated Jul 30, 2024Jul 30, 2024

    • im-unpack

      Public
      Python
      •1•0•0•0•Updated Jun 4, 2024Jun 4, 2024

    • nueroqa

      Public
      0•0•0•0•Updated Jan 18, 2024Jan 18, 2024

    • Partial_Distance_Correlation

      Public
      This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
      Python
      •
      MIT License
      •16•3•0•0•Updated Nov 2, 2022Nov 2, 2022

    • Nystromformer

      Public
      Python
      •41•0•0•0•Updated Oct 29, 2022Oct 29, 2022

    • uncertainty_with_rf

      Public
      Understanding Uncertainty Maps in Vision with Statistical Testing
      0•1•0•0•Updated Jul 12, 2022Jul 12, 2022

    • LCODEC-deep-unlearning

      Public
      Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
      privacydeep-learningmatlabpytorchneural-networksgdprmachine-unlearningrtbfdata-deletiondata-removal
      Python
      •
      MIT License
      •6•24•0•0•Updated Jul 9, 2022Jul 9, 2022

    • DatasetPooling

      Public
      Python
      •
      MIT License
      •1•0•0•0•Updated Jun 19, 2022Jun 19, 2022

    • kPF-flow

      Public
      0•0•0•0•Updated Jun 17, 2022Jun 17, 2022

    • spgru-uai19

      Public
      Python
      •1•0•0•0•Updated Nov 11, 2021Nov 11, 2021

    • GLapGAN

      Public
      Python
      •1•0•0•0•Updated Nov 5, 2021Nov 5, 2021

    • YOSO

      Public
      Python
      •3•0•0•0•Updated Nov 5, 2021Nov 5, 2021

    • panel_me_ode

      Public
      A Variational Approximation for Analyzing the Dynamics of Panel Data
      0•0•0•0•Updated Nov 2, 2021Nov 2, 2021

    • mcrepar

      Public
      Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks
      0•0•0•0•Updated Oct 14, 2021Oct 14, 2021

    • ic-loss

      Public
      PyTorch and Tensorflow implementation of inverse contrastive loss - https://arxiv.org/abs/2102.08343
      Python
      •
      MIT License
      •1•0•0•0•Updated Aug 6, 2021Aug 6, 2021

    • tucker-conv

      Public
      PyTorch Implementation of Tucker Convolution Layers
      Python
      •
      MIT License
      •1•0•0•0•Updated May 14, 2021May 14, 2021

    • mobiledet-pytorch

      Public
      PyTorch Implementation of MobileDet (https://arxiv.org/abs/2004.14525v3) backbones.
      Python
      •6•1•0•0•Updated May 13, 2021May 13, 2021

    • Pre-processing-T1-Weighted-MRI-Data

      Public
      Python
      •0•0•0•0•Updated May 3, 2021May 3, 2021

    • ICL

      Public
      Learning invariant representations using Inverse Contrastive Loss
      Python
      •1•0•0•0•Updated Feb 5, 2021Feb 5, 2021

    • Dual_Manifold_GLOW

      Public
      This is the official webpage of the Flow-based Generative Models for Learning Manifold to Manifold Mappings in AAAI 2021
      Python
      •
      MIT License
      •4•0•0•0•Updated Jan 10, 2021Jan 10, 2021

    • f1-opt

      Public
      Python
      •0•0•0•0•Updated Dec 19, 2020Dec 19, 2020

    • DeepHermites

      Public
      Python
      •3•0•0•0•Updated Nov 15, 2020Nov 15, 2020

    • FairALM

      Public
      Python
      •1•0•0•0•Updated Aug 22, 2020Aug 22, 2020

    • W2MHS

      Public
      Wisconsin White Matter Hyperintensities Segmentation Toolbox
      MATLAB
      •1•0•0•0•Updated Apr 7, 2020Apr 7, 2020

    • ISBI2020

      Public
      Jupyter Notebook
      •0•0•0•0•Updated Apr 4, 2020Apr 4, 2020

    • crow

      Public
      3•0•0•0•Updated Nov 8, 2019Nov 8, 2019

    • dual-glow

      Public
      [ICCV'19] DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
      Python
      •1•4•0•0•Updated Oct 21, 2019Oct 21, 2019

    • SPD-SRU

      Public
      This is the code for the paper Statistical Recurrent Models on Manifold valued Data
      Python
      •3•0•0•0•Updated Oct 11, 2019Oct 11, 2019

    • DCNN

      Public
      This is the published codes for Dilated Convolutional Neural Networks (DCNN) for Sequential Manifold-valued Data in Neuroimaging ICCV 2019
      Python
      •3•0•0•0•Updated Oct 11, 2019Oct 11, 2019