facebookresearch / multimodalLinks
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
β1,677Updated this week
Alternatives and similar repositories for multimodal
Users that are interested in multimodal are comparing it to the libraries listed below
Sorting:
- Implementation of 𦩠Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorchβ1,273Updated 3 years ago
- Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorchβ1,188Updated 2 years ago
- Code for ALBEF: a new vision-language pre-training methodβ1,742Updated 3 years ago
- Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.β3,283Updated 7 months ago
- Robust fine-tuning of zero-shot modelsβ756Updated 3 years ago
- CLIP-like model evaluationβ792Updated 2 weeks ago
- Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).β1,229Updated last year
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decodeβ¦β884Updated 2 years ago
- Meta-Transformer for Unified Multimodal Learningβ1,645Updated 2 years ago
- A method to increase the speed and lower the memory footprint of existing vision transformers.β1,134Updated last year
- Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Lβ¦β2,546Updated last year
- A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toβ¦β1,063Updated last year
- A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''β1,350Updated last year
- A PyTorch Lightning solution to training OpenAI's CLIP from scratch.β717Updated 3 years ago
- A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.β2,928Updated 6 months ago
- Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"β1,513Updated last year
- Grounded Language-Image Pre-trainingβ2,560Updated last year
- Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)β934Updated 2 years ago
- A Unified Library for Parameter-Efficient and Modular Transfer Learningβ2,791Updated 2 months ago
- NeurIPS 2025 Spotlight; ICLR2024 Spotlight; CVPR 2024; EMNLP 2024β1,780Updated 3 weeks ago
- Hiera: A fast, powerful, and simple hierarchical vision transformer.β1,045Updated last year
- Scenic: A Jax Library for Computer Vision Research and Beyondβ3,733Updated this week
- DataComp: In search of the next generation of multimodal datasetsβ755Updated 7 months ago
- A concise but complete implementation of CLIP with various experimental improvements from recent papersβ718Updated 2 years ago
- EVA Series: Visual Representation Fantasies from BAAIβ2,624Updated last year
- Recent Advances in Vision and Language PreTrained Models (VL-PTMs)β1,157Updated 3 years ago
- β692Updated 2 weeks ago
- [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize β¦β1,964Updated last year
- iBOT : Image BERT Pre-Training with Online Tokenizer (ICLR 2022)β757Updated 3 years ago
- A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language modelsβ838Updated 2 years ago