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cnn_gaussian_process_uncertainty

Use Gaussian processes to estimate CNN classification uncertainty

colearn

colonoscopy-polyps-detection-with-cnns

Colonoscopy polyps detection with CNNs

combined-pathology-and-radiology

MICCAI 2018 CPM Challenge

compound-density-networks

Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019).

concept-to-clinic

ALCF Concept to Clinic Challenge

conformal-prediction

Quantify uncertainty in any ML model

conformalpredictiontutorial

conformal_analyses

conformal_bayes

Conformal Bayes with importance sampling

conformal_training

This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".

convolutional-networks

Various conv nets using TensorFlow, Keras, or other tools

cost-sensitive-boosting-tutorial

Tutorial on cost-sensitive boosting and calibrated AdaMEC.

cost-sensitive-calibration

cost_sensitive_loss_classification

A straightforward mechanism to implement cost sensitive losses in pytorch

covid-19

Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

covid-ct-mask-net

Classification model for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN

covid19_detection_transfer_learning_vgg16

Detecting COVID-19 induced Pneumonia from Chest X-rays with Transfer Learning

covidnpis

Data and code for COVID-19 NPI effectiveness estimation.

cs194-capsule-gan

A CS194-129 project utilizing capsule networks for a GAN discriminator. UC Berkeley Spring 2018.

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

cs231n

Working through CS231n: Convolutional Neural Networks for Visual Recognition

cs231n-radiogenomics

cs231n.github.io

Public facing notes page

cse515t

Materials for Bayesian Methods in Machine Learning Course

csmcal

Cost-Sensitive Multi-Class Active Learning

csmlc

Cost-Sensitive Multi-Label Classification

ct_semantic_segmentation

Contains codes for algorithms used to delineate organs from CT images for thoracic patients in radiation treatment planning