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My Machine Learning project on applying Graphical Methods (Bayesian Networks mostly ) to the Wisconsin Breast Cancer dataset . Done for the Warwick university module "Mathematical Modelling in Biology and Medicine".
keras implementation of group normalization. https://arxiv.org/abs/1803.08494
A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
This repository contains the code of classifying the type of head and neck cancer using neural networks.
Machine learning pipeline for attempting to automatically determine cardiac dysfunction from MRI image data alone, including a convolutional neural network, a stacked autoencoder and an active contour model - Working but in need of clean up
HPASubC: a suite of tools for user sub-classification of tissue images from the Human Protein Atlas
Human Protein Atlas Image Classification - kaggle
I will upload here the code for ICML2019 submission. This repository is entirely anonymized.
Classification of IDC in breast cancer histology images
This is a ML project. Implemented iLocator model.
Merging Convolutional Neural Network and Random Forest
ObjectIdentification&DenseAnnotation
A deep learning model for protein subcellular localization based on immunohistochemistry images
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.
Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
Attributing predictions made by the Inception network using the Integrated Gradients method
Get started with the Internet of Things & Artificial Intelligence using Intel® technologies and the iotJumpWay.
MATLAB and Python 2.7/3 Implementations of the JVHW entropy and mutual information estimators in Jiao, Jiantao, Kartik Venkat, Yanjun Han, and Tsachy Weissman. "Minimax estimation of functionals of discrete distributions." IEEE Transactions on Information Theory 61, no. 5 (2015): 2835-2885.
Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.
Human Protein Atlas Image Classification - Classify subcellular protein patterns in human cells
Sample notebooks for Kaggle competitions
Fifth place solution of the Kaggle Diabetic Retinopathy competition.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.