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3d_gmic

3D-GMIC: an efficient deep neural network to find small objects in large 3D images

adnet

Attention-guided CNN for image denoising(Neural Networks,2020)

ag-cnn

This is a reimplementation of AG-CNN.

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

asterisk

Generating Training Data Made Easy

attention-guided-cnn-for-nih-chest-xray-dataset

In this project an Attention Guided CNN was modeled & trained on the chest XRAY dataset provided by NIH & followed the paper: Guan, Q., Huang, Y., Zhong, Z., Zheng, Z., Zheng, L. and Yang, Y. (2019). Thorax Disease Classification with Attention Guided Convolutional Neural Network.

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

awesome-visual-transformer

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

axonseg

Segment axon and myelin from microscopy data. Written in Matlab.

b31xb-iip-tp-1718

benignmalignantclassification

Classification of Breast Lesion contours to Benign and Malignant Categories.

camelyon16

Evaluation code for CAMELYON16 challenge.

carlosmedphys_monai_tutorials

MONAI Tutorials

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

collageradiomics

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

cs-video-courses

List of Computer Science courses with video lectures.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

ddg

ddsm-software-chris-rose

This is a mirror repository for hosting the important DDSM Software written by Dr. Chris Rose, University of Manchester. This is just in case when the official website (microserf.org.uk) is down.

ddsmutility

Utility to greatly simplify downloading, converting, viewing and extracting annotations from the Digital Database for Screening Mammography (DDSM) database available here: http://marathon.csee.usf.edu/Mammography/Database.html

deep-activity-rec

Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deep-image-prior

Image restoration with neural networks but without learning.

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

deepmed

deepmilrm

Mammogram Mass Detection

diagrams

:art: Diagram as Code for prototyping cloud system architectures

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch