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vilt-gpt

vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

vimgpt

Browse the web with GPT-4V and Vimium

viper

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

virtex

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

viscpm

Chinese and English Multimodal Large Model Series (Chat and Paint) | 基于CPM基础模型的中英双语多模态大模型系列

vision-language-modelling-series

Companion Repo for the Vision Language Modelling YouTube series - https://bit.ly/3PsbsC2 - by Prithivi Da. Open to PRs and collaborations

vision-language-models-are-bows

Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?"

vision_transformer

visioncrafter

Craft your visions

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

visual-chatgpt

VisualChatGPT

visual-clustering

Visual Clustering: Clustering Plotted Data by Image Segmentation

visual-openllm

something like visual-chatgpt, 文心一言的开源版

visual-question-answering-for-medical-domain

visual-spatial-reasoning

VSR: A probing benchmark for spatial undersranding of vision-language models.

visual_anagrams

Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"

visual_taste_approximator

Visual Taste Approximator (VTA) is a very simple tool that helps anyone create an automatic replica of themselves that can approximate their own personal visual taste

visualblocks

Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.

visualglm-6b

Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型

visualkeras

Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.

visualvoice

Audio-Visual Speech Separation with Cross-Modal Consistency

vit-gpt2

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vit-pytorch-1

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

vit-vqgan

JAX implementation ViT-VQGAN

vitdet

Unofficial implementation of Exploring Plain Vision Transformer Backbones for Object Detection

vitmatte

Boosting Image Matting with Pretrained Plain Vision Transformers

vitmem

Image memorability estimation

vitrina

👀 VITRina: VIsual Token Representations