Pinned Repositories
a3-vpn
advent_of_code_2017
Advent of Code 2017 Solutions
aegle
A DICOM to STL application, intended to allow DICOM images to be 3D printed. Work in progress.
AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
auto-sklearn
Automated Machine Learning with scikit-learn
Best-README-Template
An awesome README template to jumpstart your projects!
brainstorm
Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"
Donkey-Kong
DONKEY KONG
kidneyUS
Towards ubiquitous ultrasound.
learning-blockchain
Learning blockchain via tutorials
rsingla92's Repositories
rsingla92/kidneyUS
Towards ubiquitous ultrasound.
rsingla92/learning-blockchain
Learning blockchain via tutorials
rsingla92/advent_of_code_2017
Advent of Code 2017 Solutions
rsingla92/AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
rsingla92/auto-sklearn
Automated Machine Learning with scikit-learn
rsingla92/Best-README-Template
An awesome README template to jumpstart your projects!
rsingla92/brainstorm
Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"
rsingla92/browsecloud
A web app to create and browse text visualizations for automated customer listening.
rsingla92/DeepHit
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
rsingla92/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
rsingla92/DeepSurv
DeepSurv is a deep learning approach to survival analysis.
rsingla92/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
rsingla92/doc_scanner
rsingla92/DRSA
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
rsingla92/ENet
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
rsingla92/google-cloud-python
Google Cloud Client Library for Python
rsingla92/ImageMIL
rsingla92/js-segment-annotator
Javascript image annotation tool based on image segmentation.
rsingla92/learning-tensorflow
Learning tensorflow through various tutorials
rsingla92/nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
rsingla92/RAFT
rsingla92/Roth-Peranson
A python implementation of the nobel prize winning matching algorithm.
rsingla92/rsingla92.github.io
Personal website using Github IO
rsingla92/SiameseChange
rsingla92/speckle_n_shadow
Ultrasound Augmentations
rsingla92/SurvivalNet
Deep learning survival models
rsingla92/TSMLDG
Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization
rsingla92/uda
Unsupervised Data Augmentation (UDA)
rsingla92/ukb_segmentation
PyTorch implementation for 2.5D U-Net segmentation of UK Biobank neck-to-knee body MRI
rsingla92/ukbb_cardiac
Some code for processing and analysing UK Biobank cardiac MR images.