breast-cancer-pinn-ml-team Goto Github PK

1dbloodflowpinns

alphafold

Open source code for AlphaFold.

breast-cancer-cnn

Breast Cancer biopsy image analysis using CNN

breast-cancer-detection-using-cnn-in-python

Breast Cancer Detection Using CNN in Python

breast_cancer_prediction_using_cnn_svm

Python Code for breast cancer prediction using CNN and SVM

breast_detection_yolov5

Breast nipple location using yolov5 in 2d images.

cancer-detection-using-cnn

Trained a Convolutional Neural Network to classify breast cancer as Malignant or Benign

cancer-detection-using-cnn-1

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%

deeponet

Learning nonlinear operators via DeepONet

deepxde-pinn-solvers

Deep learning library for solving differential equations and more

dynamic-vision-transformer

Accelerating T2t-ViT by 1.6-3.6x.

gabor-cnn-cifar-10

This project is created in order to compare the differences between the convolutional neural network with and without Gabor's feature extraction

google-cnn-based-breast-cancer-protein-folding-research

This repository contains implementations and illustrative code to accompany DeepMind publications

hfm

Hidden Fluid Mechanics

keras-inception-resnet-v2

The Inception-ResNet v2 model using Keras (with weight files)

keras-retinanet

Keras implementation of RetinaNet object detection.

mammotherm

Thermographic mammary images database for breast cancer research

mit-mirai-cnn-model

This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.

mit-onconet_public

Developing Deep Learning Models for Mammography

nyu-birads_classifier

High-resolution breast cancer screening with multi-view deep convolutional neural networks

oncodata_public

Python wrappers for dicom conversion.

oncoserve_public

Sharing Deep Learning Models for Breast Cancer Risk

openrbc

A lipid-resolution molecular dynamics simulator of human red blood cells

physics-informed-neural-networks

Investigating PINNs

pinn-laminar-flow

Physics-informed neural network for solving fluid dynamics problems

pinn_ode_tutorial

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pinns-tf2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

publications

python-projects-in-machine-learning

A collection of machine learning projects, programmed in python and implemented using Jupyter Notebooks