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drmasato's Projects

banovichlab icon banovichlab

Public code repository for the Banovich Lab at the Translational Genomics Research Institute (TGen).

caffe icon caffe

Caffe: a fast open framework for deep learning.

chexnet icon chexnet

A pytorch reimplementation of CheXNet

covidnet-ct icon covidnet-ct

COVID-Net Open Source Initiative - Models for COVID-19 Detection from Chest CT

covnet icon covnet

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

data_science_blogs icon data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

deeplearningexamples icon deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

digits icon digits

Deep Learning GPU Training System

epillid-benchmark icon epillid-benchmark

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

fibrosisnet icon fibrosisnet

Open Source project to help predict Pulmonary Fibrosis from CT scans and clinical data.

gpt3-cli icon gpt3-cli

Typescript CLI and API to OpenAI's state-of-the-art machine learning platform.

group-cam icon group-cam

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

histomicsui icon histomicsui

A Girder plugin for pathology image annotations and analysis.

hovernet_inference icon hovernet_inference

HoVer-Net inference code for simultaneous nuclear segmentation and classification

llava-med icon llava-med

Large Language-and-Vision Assistant for BioMedicine, built towards multimodal GPT-4 level capabilities.

lrp_toolbox icon lrp_toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

medicalnet icon medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

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