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clip-as-service

🏄 Embed/reason/rank images and sentences with CLIP models

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

clip_prefix_caption

Simple image captioning model

coco-viewer

Minimalistic COCO Dataset Viewer in Tkinter

convert_dataset_to_coco

将自己的数据集转换为coco 格式

cvt

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

dagl

Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]

dat

Repository of Vision Transformer with Deformable Attention (CVPR2022)

dataset-converters

A conversion toolset between different object detection and instance segmentation annotation formats

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code

Deep Convolutional Generative Adversarial Networks

ddrm

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

deeper

DeepeR: deep learning enabled Raman spectroscopy

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

denoisingdiffusionprobabilitymodel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

dictol

DICTOL - A Dictionary Learning Toolbox in Matlab and Python

dictol_python

A Python implementation of well-known dictionary learning methods.

diffusion-models-in-media

A curated list of diffusion models in medical image analysis.

dift

This project enhances images using GAN, No-GAN, MiRNET and Conv. Siamese neural net, built using Python, Pytorch, Tensorflow and Keras.

digital_video_introduction

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷

dino

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

disease_gene_prioritization_gcn

PGCN: Disease gene prioritization by disease and gene embedding through GCN

dynbenchmark

Comparison of methods for trajectory inference on single-cell data 🥇

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

encoding-cxr-report-gen

On the Importance of Image Encoding in Automated Chest X-Ray Report Generation, BMVC 2022

entity-embedding-rossmann

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

examples

Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.

explainable-automated-medical-coding

Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)