Alternatives and similar repositories for TOAST

Users that are interested in TOAST are comparing it to the libraries listed below

• LAION-AI / scaling-laws-openclip
  Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
  ☆169Updated 3 weeks ago
• gstoica27 / ZipIt
  A framework for merging models solving different tasks with different initializations into one multi-task model without any additional tr…
  ☆301Updated last year
• kaiyuyue / nxtp
  [CVPR'24 Highlight] PyTorch Implementation of Object Recognition as Next Token Prediction
  ☆180Updated 2 months ago
• UCSC-VLAA / CLIPA
  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
  ☆315Updated last year
• mu-cai / matryoshka-mm
  Matryoshka Multimodal Models
  ☆111Updated 5 months ago
• OscarXZQ / weight-selection
  ☆180Updated 9 months ago
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆120Updated last year
• OliverRensu / D-iGPT
  [ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Lea…
  ☆98Updated last year
• google-research / syn-rep-learn
  Learning from synthetic data - code and models
  ☆319Updated last year
• TomerRonen34 / mixed-resolution-vit
  ☆51Updated last year
• eric-ai-lab / PEViT
  Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
  ☆104Updated last year
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated 10 months ago
• facebookresearch / DCI
  Densely Captioned Images (DCI) dataset repository.
  ☆186Updated last year
• UCSC-VLAA / Recap-DataComp-1B
  [ICML 2025] This is the official repository of our paper "What If We Recaption Billions of Web Images with LLaMA-3 ?"
  ☆136Updated last year
• lucidrains / soft-moe-pytorch
  Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch
  ☆302Updated 3 months ago
• amazon-science / prompt-pretraining
  Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"
  ☆258Updated last year
• bfshi / scaling_on_scales
  When do we not need larger vision models?
  ☆400Updated 5 months ago
• mlfoundations / patching
  Patching open-vocabulary models by interpolating weights
  ☆91Updated last year
• facebookresearch / diht
  Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
  ☆137Updated 2 years ago
• facebookresearch / webssl
  Code for "Scaling Language-Free Visual Representation Learning" paper (Web-SSL).
  ☆157Updated 2 months ago
• facebookresearch / CiT
  Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".
  ☆78Updated 2 years ago
• iancovert / locality-alignment
  ☆50Updated 5 months ago
• hammoudhasan / SynthCLIP
  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.
  ☆100Updated 3 months ago
• htqin / GoogleBard-VisUnderstand
  How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges
  ☆29Updated last year
• UX-Decoder / FIND
  [NeurIPS 2024] Official implementation of the paper "Interfacing Foundation Models' Embeddings"
  ☆125Updated 10 months ago
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆233Updated last year
• Arnav0400 / ViT-Slim
  Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”
  ☆250Updated last year
• apple / ml-tic-clip
  Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models".
  ☆102Updated last year
• alhojel / visual_task_vectors
  ☆38Updated 11 months ago
• bwconrad / flexivit
  PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes
  ☆62Updated last year