lucidrains / flamingo-pytorchLinks
Implementation of 𦩠Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
β1,249Updated 2 years ago
Alternatives and similar repositories for flamingo-pytorch
Users that are interested in flamingo-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorchβ1,158Updated last year
- A concise but complete implementation of CLIP with various experimental improvements from recent papersβ711Updated last year
- GIT: A Generative Image-to-text Transformer for Vision and Languageβ572Updated last year
- TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.β1,633Updated this week
- CLIP-like model evaluationβ740Updated last month
- Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)β920Updated last year
- A PyTorch Lightning solution to training OpenAI's CLIP from scratch.β703Updated 3 years ago
- π§ Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".β482Updated last year
- DataComp: In search of the next generation of multimodal datasetsβ725Updated 2 months ago
- Code release for SLIP Self-supervision meets Language-Image Pre-trainingβ774Updated 2 years ago
- Robust fine-tuning of zero-shot modelsβ724Updated 3 years ago
- Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Lβ¦β2,508Updated last year
- Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigmβ660Updated 2 years ago
- Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).β1,209Updated last year
- ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Expertβ¦β1,484Updated this week
- An open-source framework for training large multimodal models.