Alternatives and similar repositories for vit-visualization

Users that are interested in vit-visualization are comparing it to the libraries listed below

• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆100Updated 2 years ago
• sayakpaul / probing-vits
  Probing the representations of Vision Transformers.
  ☆329Updated 2 years ago
• hila-chefer / RobustViT
  [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …
  ☆131Updated 2 years ago
• andyzoujm / pixmix
  PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)
  ☆108Updated 3 years ago
• facebookresearch / FFCV-SSL
  FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.
  ☆207Updated 2 years ago
• ali-design / GenRep
  ☆87Updated 3 years ago
• mbanani / lgssl
  [CVPR 2023] Learning Visual Representations via Language-Guided Sampling
  ☆148Updated 2 years ago
• wpeebles / G.pt
  Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"
  ☆343Updated 2 years ago
• facebookresearch / clip-rocket
  Code release for "Improved baselines for vision-language pre-training"
  ☆60Updated last year
• libffcv / ffcv-imagenet
  Train ImageNet *fast* in 500 lines of code with FFCV
  ☆146Updated last year
• google-research / syn-rep-learn
  Learning from synthetic data - code and models
  ☆321Updated last year
• hsouri / Battle-of-the-Backbones
  ☆207Updated last year
• facebookresearch / meru
  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023
  ☆180Updated 2 years ago
• novice03 / timm-vis
  Visualizer for PyTorch image models
  ☆44Updated 4 years ago
• HaohanWang / ImageNet-Sketch
  ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale
  ☆221Updated 3 years ago
• facebookresearch / imagenetx
  understanding model mistakes with human annotations
  ☆106Updated 2 years ago
• bfshi / TOAST
  Official code for "TOAST: Transfer Learning via Attention Steering"
  ☆188Updated 2 years ago
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆110Updated last year
• evandez / neuron-descriptions
  Natural Language Descriptions of Deep Visual Features, ICLR 2022
  ☆65Updated 2 years ago
• facebookresearch / dropout
  Code release for "Dropout Reduces Underfitting"
  ☆314Updated 2 years ago
• mbaradad / learning_with_noise
  Learning to See by Looking at Noise
  ☆111Updated 9 months ago
• yossigandelsman / rosetta_neurons
  Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"
  ☆31Updated last year
• UCSC-VLAA / CLIPA
  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
  ☆316Updated last year
• ml-jku / cloob
  ☆160Updated 3 years ago
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆66Updated 2 years ago
• kevinzakka / clip_playground
  An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities
  ☆173Updated 3 years ago
• fkodom / clip-text-decoder
  Generate text captions for images from their embeddings.
  ☆115Updated 2 years ago
• zzd1992 / Image-Local-Attention
  A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.
  ☆141Updated 3 years ago
• mlfoundations / patching
  Patching open-vocabulary models by interpolating weights
  ☆91Updated last year
• facebookresearch / VICRegL
  VICRegL official code base
  ☆229Updated 2 years ago