Bryan Lu's Projects
Go ahead and axolotl questions
Combining contrastive learning and transfer learning at scale for medical imaging.
[MICCAI 20] CircleNet: Anchor-free Detection with Circle Representation
ClickHouse® is a free analytics DBMS for big data
Homepage for the Data Interaction Group at CMU
A complete computer science study plan to become a software engineer.
A Method to Estimate OOD Performance via Optimal Transport.
[NeurIPS 23] Characterizing OOD Error via Optimal Transport
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
Tool for Labeling Medical Images with Humans in the Loop.
More accessible college application information for high school students.
Holistic Fine-grained Glomeruli Characterization Pipeline.
[VIS 22] An Interactive Interpretability System for Breast Cancer Screening with Deep Learning
Learning Julia by Building Applications
Config files for my GitHub profile.
My Academic Website.
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
Machine Learning Algorithms Implemented from Scratch
AI Toolkit for Healthcare Imaging
[EuroVis 21] Compressive Neural Representations of Volumetric Scalar Fields
A simple triplet representation learning approach for pathological images.
[WACV 24] Set Locality Sensitive Hashing via Sliced Wasserstein Embedding
C++ compressor for multidimensional grid data using the Tucker decomposition
Vanderbilt Course Notes
Datasets, Transforms and Models specific to Computer Vision