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    • Python
      0510Updated Nov 16, 2024Nov 16, 2024
    • oinr

      Public
      Code for ICML 24 paper "Implicit Representations via Operator Learning"
      Python
      MIT License
      3600Updated Jul 30, 2024Jul 30, 2024
    • im-unpack

      Public
      Python
      1000Updated Jun 4, 2024Jun 4, 2024
    • nueroqa

      Public
      0000Updated Jan 18, 2024Jan 18, 2024
    • This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
      Python
      MIT License
      16300Updated Nov 2, 2022Nov 2, 2022
    • Python
      41000Updated Oct 29, 2022Oct 29, 2022
    • Understanding Uncertainty Maps in Vision with Statistical Testing
      0100Updated Jul 12, 2022Jul 12, 2022
    • Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
      Python
      MIT License
      52500Updated Jul 9, 2022Jul 9, 2022
    • Python
      MIT License
      1000Updated Jun 19, 2022Jun 19, 2022
    • kPF-flow

      Public
      0000Updated Jun 17, 2022Jun 17, 2022
    • Python
      1000Updated Nov 11, 2021Nov 11, 2021
    • GLapGAN

      Public
      Python
      1000Updated Nov 5, 2021Nov 5, 2021
    • YOSO

      Public
      Python
      3000Updated Nov 5, 2021Nov 5, 2021
    • A Variational Approximation for Analyzing the Dynamics of Panel Data
      0000Updated Nov 2, 2021Nov 2, 2021
    • mcrepar

      Public
      Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks
      0000Updated 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
      1000Updated Aug 6, 2021Aug 6, 2021
    • PyTorch Implementation of Tucker Convolution Layers
      Python
      MIT License
      1000Updated May 14, 2021May 14, 2021
    • PyTorch Implementation of MobileDet (https://arxiv.org/abs/2004.14525v3) backbones.
      Python
      6100Updated May 13, 2021May 13, 2021
    • Python
      0000Updated May 3, 2021May 3, 2021
    • ICL

      Public
      Learning invariant representations using Inverse Contrastive Loss
      Python
      1000Updated Feb 5, 2021Feb 5, 2021
    • This is the official webpage of the Flow-based Generative Models for Learning Manifold to Manifold Mappings in AAAI 2021
      Python
      MIT License
      4000Updated Jan 10, 2021Jan 10, 2021
    • f1-opt

      Public
      Python
      0000Updated Dec 19, 2020Dec 19, 2020
    • Python
      3000Updated Nov 15, 2020Nov 15, 2020
    • FairALM

      Public
      Python
      1000Updated Aug 22, 2020Aug 22, 2020
    • W2MHS

      Public
      Wisconsin White Matter Hyperintensities Segmentation Toolbox
      MATLAB
      1000Updated Apr 7, 2020Apr 7, 2020
    • ISBI2020

      Public
      Jupyter Notebook
      0000Updated Apr 4, 2020Apr 4, 2020
    • crow

      Public
      3000Updated Nov 8, 2019Nov 8, 2019
    • dual-glow

      Public
      [ICCV'19] DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
      Python
      1400Updated Oct 21, 2019Oct 21, 2019
    • SPD-SRU

      Public
      This is the code for the paper Statistical Recurrent Models on Manifold valued Data
      Python
      3000Updated 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
      3000Updated Oct 11, 2019Oct 11, 2019