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ai-deep-learning-lab-2021

Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021

ai-deep-learning-lab-2022

bioinformatics_lab

cad_pe

ccvqa.github.io

Compare & Contrast VQA: Can Vision-Language Models Distinguish Subtle Dual-Image Differences?

cell-segmentation

PyTorch implementation of several neural network models for cellular image segmentation

cogs108_repo

controlgan

Pytorch implementation for Controllable Text-to-Image Generation.

deep-dream

domino

exercises-mmtf-pyspark

This repo contains some introductory exercises using pyspark for MMTF conference.

frontierml.github.io

gcloud

Google Cloud tutorial and setup

gloria

GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hdgan

Pytorch implementation of HDGan

headline_neural_networks

Using neural network to classify/ generate real and fake news headlines.

hvp_tong

jupyter-guide

Best practices guide for using Jupyter Notebook and Jupyter Lab

marshuang80.github.io

ml-scl

Multi Label Supervised Contrastive Learning

mmtf-hackathon-2018

Hackathon projects repository for MMTF Workshop 2018

mmtf-pyspark

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

mmtf-python

The python implementation of the MMTF API, decoder and encoder.

mmtf-python-benchmark

Benchmarks for comparing 3D structure file parser performance in Biopython

myfirstpullrequest2

napari

napari: a Qt- and VisPy-based ndarray visualization tool

net2net

Network-to-Network Translation with Conditional Invertible Neural Networks

outlier_detector

A program to detect outlier from a stream of data