TargetCLIPOfficial PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.
PASSLPASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,BEiT,MAE等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
pushdeer开放源码的无App推送服务,iOS14+扫码即用。亦支持快应用/iOS和Mac客户端、Android客户端、自制设备
MoTISMobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.
Paddle-CLIPA PaddlePaddle version implementation of CLIP of OpenAI.
fauxClipClipboard support for Vim without +clipboard
Transformer-MM-Explainability[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
video featuresExtract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.
clip-italianCLIP (Contrastive Language–Image Pre-training) for Italian
vqgan-clip-appLocal image generation using VQGAN-CLIP or CLIP guided diffusion