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@maple-research-lab Lab for MAchine Perception and LEarning (MAPLE)

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    23 repositories

    • SIM

      Public
      Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]
      diffusion-modelsdiffusion-distillation
      Python
      •
      GNU Affero General Public License v3.0
      •2•75•3•0•Updated Nov 17, 2024Nov 17, 2024

    • EqDiff

      Public
      Equilibrated Diffusion: Frequency-aware Textual Embedding for EquilibratedImage Customization. https://maple-aigc.github.io/EqDiff/
      Python
      •0•5•0•0•Updated Aug 22, 2024Aug 22, 2024

    • CaCo

      Public
      CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning
      computer-visionrepresentation-learningunsupervised-learningself-supervised-learningcontrastive-learningcaco
      Python
      •
      MIT License
      •4•17•0•0•Updated Mar 10, 2024Mar 10, 2024

    • EnAET

      Public
      EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
      Python
      •
      MIT License
      •6•81•0•2•Updated Oct 25, 2023Oct 25, 2023

    • AdPE

      Public
      code for "AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+"
      image-classificationmaeself-supervised-learningmasked-autoencodervision-transformermasked-image-modeling
      Python
      •
      MIT License
      •0•4•0•0•Updated Mar 28, 2023Mar 28, 2023

    • AdCo

      Public
      AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
      self-supervised-learningcontrastive-learningadco
      Python
      •
      MIT License
      •19•162•0•0•Updated Mar 14, 2023Mar 14, 2023

    • CLSA

      Public
      official implemntation for "Contrastive Learning with Stronger Augmentations"
      deep-learningunsupervised-learningself-supervised-learningcontrastive-learningclsastronger-augmentations
      Python
      •
      MIT License
      •14•57•0•0•Updated Aug 2, 2021Aug 2, 2021

    • WCP

      Public
      Source code for "WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning" in CPVR 2020.
      Python
      •5•23•1•1•Updated Jul 22, 2020Jul 22, 2020

    • graph-ter

      Public
      GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations, in Proceedings of IEEE/CVF Conferences on Computer Vision and Pattern Recognition (CVPR 2020)
      Python
      •
      MIT License
      •0•5•0•0•Updated Apr 13, 2020Apr 13, 2020

    • TrGAN

      Public
      Transformation GAN for Unsupervised Image Synthesis and Representation Learning, in Proceedings of IEEE/CVF Conferences on Computer Vision and Pattern Recognition (CVPR 2020)
      0•4•1•0•Updated Apr 2, 2020Apr 2, 2020

    • AVT-pytorch

      Public
      Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019
      Python
      •7•19•0•0•Updated Oct 7, 2019Oct 7, 2019

    • AET

      Public
      Auto-Encoding Transformations (AETv1), CVPR 2019
      Python
      •28•108•6•0•Updated Aug 28, 2019Aug 28, 2019

    • CapProNet-Pytorch

      Public
      Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018
      Python
      •10•32•4•0•Updated Dec 13, 2018Dec 13, 2018

    • CapProNet_tf

      Public
      Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018
      Python
      •3•19•1•0•Updated Dec 5, 2018Dec 5, 2018

    • CapProNet_pytorch

      Public
      0•0•0•0•Updated Dec 5, 2018Dec 5, 2018

    • CapProNet

      Public
      This project is obsolete. New one is at https://github.com/maple-research-lab/CapProNet_tf.
      Python
      •2•2•1•0•Updated Aug 24, 2018Aug 24, 2018

    • glsgan-gp

      Public
      Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as special cases.
      pytorchgradient-penaltyls-gan
      Python
      •5•30•1•0•Updated Mar 4, 2018Mar 4, 2018

    • lsal-blocks

      Public
      Generalized Loss-Sensitive Adversarial Learning implemented in Blocks
      Python
      •0•0•0•0•Updated Feb 18, 2018Feb 18, 2018

    • lsal-torch

      Public
      Generalized Loss-Sensitive Adversarial Learning in torch
      Lua
      •
      GNU General Public License v3.0
      •0•0•0•0•Updated Feb 18, 2018Feb 18, 2018

    • lsgan-gp-alt

      Public
      Loss-Sensitive GAN with gradient penalty in tensorflow
      Python
      •0•8•0•0•Updated Feb 18, 2018Feb 18, 2018

    • sfm

      Public
      State-Frequency Memory Recurrent Neural Networks, ICML 2017
      Python
      •0•1•0•0•Updated Feb 18, 2018Feb 18, 2018

    • glsgan

      Public
      Generalized Loss-Sensitive GAN in torch, IJCV
      Lua
      •0•2•0•0•Updated Feb 18, 2018Feb 18, 2018

    • lsgan

      Public
      Loss-Sensitive Generative Adversarial Networks (LS-GAN) in torch, IJCV
      Lua
      •0•2•0•0•Updated Feb 18, 2018Feb 18, 2018