rashindrie
Machine Learning Scientist at the Peter MacCallum Cancer Centre and Ph.D. Candidate at the University of Melbourne, Australia.
Australia
Pinned Repositories
ANSAC
Classification of whole-slide images based on tumor infiltrating lymphocyte grades using image-level labels
aspect-hierarchy-generation
CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
databricks-testing
A Git repo to test CI/CD functionalities in databricks
DIPA
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-domain Few-Shot Learning - CVPR 2024
Lorne-Genome-2022
Poster presented at Lorne Genome 2022
multi-way-agglomerative-clustering
Adaptation of Multivariate Concept to Multi-way Agglomerative Clustering for Hierarchical Aspect Aggregation
nih_reporter
Using NIH RePORTER data as a machine learning playground for Databricks, NLP and collaborative development
rashindrie.github.io
sl-workshops-2022
rashindrie's Repositories
rashindrie/DIPA
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-domain Few-Shot Learning - CVPR 2024
rashindrie/ANSAC
Classification of whole-slide images based on tumor infiltrating lymphocyte grades using image-level labels
rashindrie/aspect-hierarchy-generation
rashindrie/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
rashindrie/databricks-testing
A Git repo to test CI/CD functionalities in databricks
rashindrie/Lorne-Genome-2022
Poster presented at Lorne Genome 2022
rashindrie/multi-way-agglomerative-clustering
Adaptation of Multivariate Concept to Multi-way Agglomerative Clustering for Hierarchical Aspect Aggregation
rashindrie/nih_reporter
Using NIH RePORTER data as a machine learning playground for Databricks, NLP and collaborative development
rashindrie/rashindrie.github.io
rashindrie/sl-workshops-2022