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dcgan_code

Deep Convolutional Generative Adversarial Networks

ddrm

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

deeper

DeepeR: deep learning enabled Raman spectroscopy

deepfri

Deep functional residue identification

deepimagej-plugin

The ImageJ plugin to run deep-learning models

deepliif

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23]

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

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.

digipathai

Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay

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

dips-plus

The Enhanced Database of Interacting Protein Structures for Interface Prediction

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)

fast

A framework for high-performance medical image processing, neural network inference and visualization

featuretools

An open source python library for automated feature engineering

fengshenbang-lm

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

friedricelab

Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image restoration models.

fuir

A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐