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algorithm

anomalydetection

automatic_prompt_engineer

awesome-open-vocabulary

A Survey on Open Vocabulary Learning

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

clipself

[ICLR2024 Spotlight] Code Release of CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction

coop

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

cross-cutting

cvpr22_vplow_ow

d2dl

Dive into Deep Learning 코드 필사

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

data-annotation-cv-level3-cv-13

data-annotation-cv-level3-cv-13 created by GitHub Classroom

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

detr

End-to-End Object Detection with Transformers

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

ffcv-ssl

FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.

final-project-level3-cv-13

final-project-level3-cv-13 created by GitHub Classroom

genomics-informatics-corpus

hard-prompts-made-easy

ibot

iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

image-classification-level1-02

image-classification-level1-02 created by GitHub Classroom

labels4free

https://rameenabdal.github.io/Labels4Free/ (ICCV 2021)

llava

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

ltvrr

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mindall-e

PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs

mood

Official PyTorch implementation and pretrained models of Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling Is All You Need (MOOD in short). Our paper is accepted by CVPR2023.

mugs

A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".