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  • 👋 Hi, I’m Bryan, currently an applied scientist at AWS Bedrock, working on inference optimization for LLMs.
  • 📚 I recently graduated from my master's program in machine learning at CMU. I did my undergrad at Vanderbilt, majoring in maths and computer science.

Bryan Lu's Projects

bit-simsiam icon bit-simsiam

Combining contrastive learning and transfer learning at scale for medical imaging.

circlenet icon circlenet

[MICCAI 20] CircleNet: Anchor-free Detection with Circle Representation

clickhouse icon clickhouse

ClickHouse® is a free analytics DBMS for big data

cot icon cot

[NeurIPS 23] Characterizing OOD Error via Optimal Transport

dissect icon dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

easierpath icon easierpath

Tool for Labeling Medical Images with Humans in the Loop.

gaokaopedia icon gaokaopedia

More accessible college application information for high school students.

glomeruli icon glomeruli

Holistic Fine-grained Glomeruli Characterization Pipeline.

iradis icon iradis

[VIS 22] An Interactive Interpretability System for Breast Cancer Screening with Deep Learning

medusa icon medusa

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

monai icon monai

AI Toolkit for Healthcare Imaging

neurcomp icon neurcomp

[EuroVis 21] Compressive Neural Representations of Volumetric Scalar Fields

simtriplet icon simtriplet

A simple triplet representation learning approach for pathological images.

slosh icon slosh

[WACV 24] Set Locality Sensitive Hashing via Sliced Wasserstein Embedding

tthresh icon tthresh

C++ compressor for multidimensional grid data using the Tucker decomposition

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

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