Alternatives and similar repositories for VisionTransformer-MNIST

Users that are interested in VisionTransformer-MNIST are comparing it to the libraries listed below

• WalBouss / LeGrad
  ☆77Updated 9 months ago
• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆95Updated 2 years ago
• hamidkazemi22 / vit-visualization
  ☆185Updated last year
• all-things-vits / code-samples
  Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.
  ☆194Updated 2 years ago
• p-giakoumoglou / pyssl
  Self-Supervised Learning in PyTorch
  ☆138Updated last year
• sayakpaul / cmmd-pytorch
  PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.
  ☆138Updated last year
• jacobmarks / awesome-neurips-2023
  Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
  ☆119Updated last year
• TonyLianLong / CrossMAE
  Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
  ☆115Updated 3 months ago
• naver-ai / cl-vs-mim
  (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"
  ☆111Updated last year
• hananshafi / vits-for-small-scale-datasets
  [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"
  ☆158Updated last year
• forever208 / DDPM-IP
  [ICML 2023] official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"
  ☆119Updated 3 months ago
• rezaakb / peft-vit
  Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting
  ☆28Updated last year
• TomerRonen34 / mixed-resolution-vit
  ☆51Updated last year
• itailang / poster_guide
  A conference poster format with structure, content, creation, and presentation recommendations.
  ☆73Updated 5 months ago
• helblazer811 / ConceptAttention
  ConceptAttention: A method for interpreting multi-modal diffusion transformers.
  ☆307Updated 3 months ago
• VSehwag / minimal-diffusion
  A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
  ☆289Updated 10 months ago
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated 10 months ago
• kyegomez / Vit-RGTS
  Open source implementation of "Vision Transformers Need Registers"
  ☆184Updated 3 months ago
• google-deepmind / tips
  ☆99Updated 3 months ago
• awjuliani / pytorch-diffusion
  A basic PyTorch implementation of 'Denoising Diffusion Probabilistic Models'
  ☆182Updated 2 years ago
• alsdudrla10 / DG
  Official repo for Discriminator Guidance.
  ☆166Updated 5 months ago
• apple / ml-tic-clip
  Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models".
  ☆102Updated last year
• facebookresearch / meru
  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023
  ☆173Updated last year
• aliasgharkhani / SLiMe
  1-shot image segmentation using Stable Diffusion
  ☆140Updated last year
• DmitryRyumin / WACV-2024-Papers
  WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in co…
  ☆96Updated 10 months ago
• AI4LIFE-GROUP / SpLiCE
  Sparse Linear Concept Embeddings
  ☆108Updated 3 months ago
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆53Updated last year
• sunnytqin / no-distillation
  ☆18Updated 5 months ago
• Jiawei-Yang / Denoising-ViT
  This is the official code release for our work, Denoising Vision Transformers.
  ☆371Updated 8 months ago
• surkovv / sdxl-unbox
  Sparse Autoencoders for Stable Diffusion XL models.
  ☆69Updated last month