Alternatives and similar repositories for datacomp

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

• LAION-AI / CLIP_benchmark
  CLIP-like model evaluation
  ☆793Updated 3 weeks ago
• kohjingyu / fromage
  🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
  ☆484Updated 2 years ago
• UCSC-VLAA / CLIPA
  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
  ☆320Updated last year
• kohjingyu / gill
  🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".
  ☆470Updated last year
• allenai / unified-io-2
  ☆636Updated last year
• mlfoundations / wise-ft
  Robust fine-tuning of zero-shot models
  ☆756Updated 3 years ago
• facebookresearch / MetaCLIP
  NeurIPS 2025 Spotlight; ICLR2024 Spotlight; CVPR 2024; EMNLP 2024
  ☆1,786Updated 3 weeks ago
• kyegomez / CM3Leon
  An open source implementation of "Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning", an all-new multi modal …
  ☆364Updated 2 years ago
• ContextualAI / lens
  This is the official repository for the LENS (Large Language Models Enhanced to See) system.
  ☆357Updated 5 months ago
• lucidrains / flamingo-pytorch
  Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
  ☆1,274Updated 3 years ago
• allenai / mmc4
  MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text.
  ☆948Updated 9 months ago
• penghao-wu / vstar
  PyTorch Implementation of "V* : Guided Visual Search as a Core Mechanism in Multimodal LLMs"
  ☆683Updated last year
• google-research-datasets / conceptual-12m
  Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.
  ☆410Updated 5 months ago
• huggingface / open-muse
  Open reproduction of MUSE for fast text2image generation.
  ☆359Updated last year
• bfshi / scaling_on_scales
  When do we not need larger vision models?
  ☆413Updated 10 months ago
• huggingface / OBELICS
  Code used for the creation of OBELICS, an open, massive and curated collection of interleaved image-text web documents, containing 141M d…
  ☆211Updated last year
• iejMac / video2dataset
  Easily create large video dataset from video urls
  ☆642Updated last year
• microsoft / GenerativeImage2Text
  GIT: A Generative Image-to-text Transformer for Vision and Language
  ☆577Updated 2 years ago
• apple / ml-veclip
  The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"
  ☆248Updated 11 months ago
• luogen1996 / LaVIN
  [NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"
  ☆524Updated last year
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆663Updated last year
• LLaVA-VL / LLaVA-Plus-Codebase
  LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills
  ☆763Updated last year
• m-bain / webvid
  Large-scale text-video dataset. 10 million captioned short videos.
  ☆670Updated last year
• AILab-CVC / SEED
  Official implementation of SEED-LLaMA (ICLR 2024).
  ☆638Updated last year
• mlfoundations / open_lm
  A repository for research on medium sized language models.
  ☆524Updated 6 months ago
• allenai / visprog
  Official code for VisProg (CVPR 2023 Best Paper!)
  ☆756Updated last year
• facebookresearch / LaViLa
  Code release for "Learning Video Representations from Large Language Models"
  ☆537Updated 2 years ago
• mlfoundations / model-soups
  Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
  ☆503Updated last year
• yuweihao / MM-Vet
  MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities (ICML 2024)
  ☆318Updated 11 months ago
• AILab-CVC / SEED-Bench
  (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.
  ☆356Updated 11 months ago