Alternatives and similar repositories for clip-rocket

Users that are interested in clip-rocket are comparing it to the libraries listed below

• mbanani / lgssl
  [CVPR 2023] Learning Visual Representations via Language-Guided Sampling
  ☆149Updated 2 years ago
• facebookresearch / maws
  Code and models for the paper "The effectiveness of MAE pre-pretraining for billion-scale pretraining" https://arxiv.org/abs/2303.13496
  ☆92Updated 5 months ago
• facebookresearch / meru
  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023
  ☆183Updated 2 years ago
• facebookresearch / imagenetx
  understanding model mistakes with human annotations
  ☆106Updated 2 years ago
• salesforce / MUST
  PyTorch code for MUST
  ☆107Updated 5 months ago
• TomerRonen34 / mixed-resolution-vit
  ☆53Updated 2 years ago
• mwalmer-umd / vit_analysis
  ☆35Updated 2 years ago
• mlfoundations / patching
  Patching open-vocabulary models by interpolating weights
  ☆91Updated 2 years ago
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆78Updated 3 years ago
• hammoudhasan / DiversitySSL
  Original code base for On Pretraining Data Diversity for Self-Supervised Learning
  ☆14Updated 9 months ago
• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆100Updated 2 years ago
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated last year
• mlfoundations / imagenet-captions
  Release of ImageNet-Captions
  ☆51Updated 2 years ago
• goel-shashank / CyCLIP
  ☆120Updated 2 years ago
• sail-sg / mugs
  A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
  ☆83Updated last year
• hila-chefer / RobustViT
  [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …
  ☆132Updated 2 years ago
• NVlabs / PALAVRA
  ☆53Updated 3 years ago
• UCSC-VLAA / CLIPA
  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
  ☆317Updated last year
• hamidkazemi22 / vit-visualization
  ☆187Updated 2 years ago
• hammoudhasan / SynthCLIP
  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.
  ☆100Updated 6 months ago
• jmerullo / limber
  https://arxiv.org/abs/2209.15162
  ☆52Updated 2 years ago
• LAION-AI / scaling-laws-openclip
  Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
  ☆177Updated 3 months ago
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆121Updated last year
• google-research / syn-rep-learn
  Learning from synthetic data - code and models
  ☆322Updated last year
• facebookresearch / OTTER
  This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …
  ☆69Updated 3 years ago
• yossigandelsman / rosetta_neurons
  Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"
  ☆31Updated last year
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆110Updated last year
• apple / ml-tic-clip
  Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models" ICLR 2024
  ☆104Updated last year
• modestyachts / ImageNetV2_pytorch
  ImageNetV2 Pytorch Dataset
  ☆41Updated 2 years ago
• facebookresearch / diht
  Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
  ☆138Updated 2 years ago