Namespaces

Namespaces are virtual clusters supported by Kubernetes and they provide a way to divide cluster resources among multiple users. PRP Nautilus cluster supports multiple namespaces for different teams of users and projects. A few examples are listed in a gallery below. To find more info about each namespace follow the links inside the cards.

adalab
University of California, San Diego: Advanced Data Analytics
braingeneers
UC Santa Cruz & UC San Francisco: Machine Learning with the recordings derived from cortical organoids
carl-uci
University of California, Irvine: Reinforcement learning and motion decomposition
chei-ml
University of California, San Diego and SIO: Deep learning for coral species segmentation
connect
University of California, San Diego: Machine Learning in Earth Sciences
coralnet
University of California, San Diego: Computer Vision and Machine Learning for Coral Ecology
deepgtex-prp
Clemson University: Deep Learning in Oncogenomics
desalab
University of California, San Diego: Biologically plausible deep learning for vision
domain-adaptation
University of California, San Diego: Transfer and multitask learning
dreiman
University of California, Santa Cruz: Deep learning research with applications in cosmology, extragalactic astronomy and astrophysics
ecdna
University of California, San Diego: Deep Learning for medical imaging
ecewcsng
University of California, San Diego: Deep Learning for sensor data processing
guru-research
University of California, San Diego: Applications of deep learning to image and video processing
kube-environment
University of California, San Diego: ReRAM-based deep neural networks
kundajelab
Stanford University: Deep Learning in Genomics
mas-fuelmap
University of California, San Diego: Generating land cover and fuel maps from satellite imagery
mesl
University of California, San Diego: Convolutional Neural Networks and Reinforcement Learning
ncmir-mm
University of California, San Diego: Image segmentation with deep convolutional neural networks
neuralmtpp
University of California, Riverside: Modified Continuous-time Long Short Term Memory Network
niddk
University of California, San Diego: Deep Learning for predicting human activity levels from raw accelerometer data
osg
University of California, San Diego: Cashing infrastructure
osggpus
University of California, San Diego: Photon propagation simulation
patternlab
University of California San Diego: Deep Belief Networks and Generative Neural Networks
racelab
University of California, Santa Barbara: Image-recognizing Neural Network
satellite-pwc
University of California, San Diego: Demographic analysis of satellite imagery using machine learning
satellite-unicef
University of California, San Diego: Machine learning to locate schools in rural Africa
sdsu
San Diego State University: Fall Prediction and Detection through Inferencing at the Edge
sindilabmerced
University of California, Merced: Feed Forward Neural Network
srinjoy-keras
University of California, San Diego: Deconvolutional Networks Sparsity study
srip19-drone
University of California, San Diego: Machine Learning and robotics
srip19-group7
University of California, San Diego: Compressed Deep Learning Networks
srip19-pointcloud
University of California, San Diego: Classification of point cloud data
svcl
University of California, San Diego: Synthetic data augmentation
syn-data
University of California, San Diego: Vision-and-Language Navigation
uci-datalab
University of California, Irvine: Knowledge Aware Language Modeling
ucicompvis
University of California, Irvine: Machine Learning in Computer vision
ucm-wave
University of California, Merced: Virtual Reality
ucsd-haosulab
University of California, San Diego: Machine learning methods based on point cloud
viscomp
University of California, San Diego: Deep Learning in Computer graphics
wifire
University of California, San Diego: Modeling, data assimilation, and visualization of wildfires
words-geo
University of California, San Diego: Satellite image processing
words-housing
University of California, San Diego: Machine Learning to predict property values in San Diego County
words-ippd
University of California, San Diego: Reinforcement learning to create a smart scheduler for optimized resource management
words-traffic
University of California, San Diego: Machine Learning to analyze and predict traffic patterns

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