dani-lbnl
Leads research on computer vision, pattern recognition and machine learning. Data Scientist. LBNL Staff Scientist. UCB and UCSF Affiliate Faculty.
Lawrence Berkeley National LaboratoryUnited States
Pinned Repositories
2017_ucberkeley_course
Courses to Brain Mic 4d-advanced-microscopy-of-brain-circuits
2022_als_user_meeting
Tutorial on microCT visualization
2024_als_user_meeting
Computer Vision Tutorial for the ALS User Meeting 2024
camerawde2023
CAMERA tutorial for LBNL WDE Internship Program 2023
cancerCervicalHack
Cell Recognition for Inspection of the Cervix
CNN_BraggSpot
Code related to Journal of Synchrotron Radiation paper FV5080
imagexd19
tutorials on image processing presented at ImageXD'19
isvc2019
Tutorial at ISVC'19 on 3D image processing
pyF3D
Image processing for many and multi-core platforms (see also https://github.com/CameraIA/F3D)
SC20_pyHPC
pyHPC workshop
dani-lbnl's Repositories
dani-lbnl/2017_ucberkeley_course
Courses to Brain Mic 4d-advanced-microscopy-of-brain-circuits
dani-lbnl/imageXDaugmentation
dani-lbnl/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
dani-lbnl/chainercv
ChainerCV: a Library for Computer Vision in Deep Learning
dani-lbnl/cric2017
CRIC 2017 event - Science Without Borders
dani-lbnl/miningLogs
R code to mine log files, and plot relevant graphs of overall activities
dani-lbnl/outbreakXscales
Surveillance of outbreak data across scales
dani-lbnl/cric
dani-lbnl/cric2018
mini-report on 2018 activities
dani-lbnl/CS289A
Machine Learning Projects
dani-lbnl/dagr
dani-lbnl/DeepLearningBook
MIT Deep Learning Book in PDF format
dani-lbnl/fastMarching
Fast marching for image segmentation
dani-lbnl/graphXD
UC Berkeley graphXD team work
dani-lbnl/helloSphinx
exercising at BIDS Docathon
dani-lbnl/image-processing-tutorials
dani-lbnl/ImageXD2018.github.io
This is the new website design for ImageXD Workshop
dani-lbnl/miningPDF
datamining for pdf files, graph-based visualization of items and relationships
dani-lbnl/MSMeval
Evaluation of MSM algorithms and metrics
dani-lbnl/paper-pearc_2017
Writing up our bootcamp experience for PEARC
dani-lbnl/particleAnalysis
dani-lbnl/quanteda_landing
Quanteda landing website
dani-lbnl/quanteda_tutorials
Quanteda tutorials website
dani-lbnl/R-documentation
dani-lbnl/srm_eval
Review of SRM algorithms that can be used for image segmentation
dani-lbnl/swc_bids_jun2
dani-lbnl/swc_bids_jun3
dani-lbnl/UCSF-Data_Driven_Neuro
A repository to store course materials for the data-driven neuroscience in python short-course.
dani-lbnl/visualization
code for visualization tasks
dani-lbnl/xdata2018
Summer of Data Science - 2018