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arnold-caleb Goto Github PK

followers: 5.0 following: 3.0 repos: 8.0 gists: 0.0

Name: Arnold Caleb Asiimwe

Type: User

Company: Columbia University

Bio: Undergraduate, I.I. Rabi Scholar @columbia studying Computer Science and Biochemistry

Twitter: acaleb

Location: New York, NY 10027, USA

Blog: cs.columbia.edu/~aa4870

Arnold is one of the I.I. Rabi Scholars at Columbia University, Class of 2025, and is advised by Prof. Carl Vondrick and Dr. Mary Salvatore. His research is focused on applying computer vision and natural language processing techniques to problems in medicine, biology and chemistry. The majority of his work lies in tackling multimodal machine learning problems and enhancing model explainability.

Arnold Caleb Asiimwe's Projects

arnold-caleb

dex-ycb-toolkit

A Python package that provides evaluation and visualization tools for the DexYCB dataset

ego4d

Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset

health-autocorrect

Code Implementation for the paper "Image-Conditioned Autocorrection in Medical Reporting"

lavila

Code release for "Learning Video Representations from Large Language Models"

ml-ferret

summer-2022

On explainable attention-based deep neural networks trained on radiographic data augmented with diffusion models

video-dataset-loading-pytorch

Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

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