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mwcoleman's Projects

bovw-classifier icon bovw-classifier

Bag of words model image classifier with evaluation on MNIST-fashion data set

fonts icon fonts

set of fonts needed for weasy report css

iiava_notes icon iiava_notes

Collection of summarised notes taken during Monash's "Intelligent Image and Video Analysis" unit - FIT5221

ipynb-publish icon ipynb-publish

Simple script to convert jupyter notebooks to markdown with yaml frontmatter for jekyll compatibility

logit icon logit

Simple climbing/strength logger to explore reflex-dev library

lxmert icon lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mimic-cxr-stratification icon mimic-cxr-stratification

Simple pre-processing script of MIMIC-CXR for stratification of samples suitable for multi-label scenarios. Uses skmultilearn

moonboardrnn icon moonboardrnn

A MoonBoard Problem Generator (DeepRouteSet) and Grade Predictor (GradeNet) based on LSTM

moonplotter icon moonplotter

A small app to get logbook data from the moonboard app and display useful plots.

nlp_notes icon nlp_notes

Collection of summarised notes taken during Monash FIT5217 - NLP unit.

plotly.py icon plotly.py

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

prerade icon prerade

Multimodal transformer pretraining on radiology images and reports

rethinking-pyro icon rethinking-pyro

Port of Statistical Rethinking (2nd ed.) with Pyro - from numpyro and textbook

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sonota icon sonota

Flashing Itead Sonoff devices with custom firmware via original OTA mechanism

volta icon volta

Code and data for the framework in "Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs", TACL 2021.

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