khornlund Goto Github PK

aec

Exploration of Australian Federal Elections

albumentations

fast image augmentation library and easy to use wrapper around other libraries

aptos2019-blindness-detection

Kaggle 83rd Place (Top 3%) Solution

aspr

Exploration of the application of machine learning algorithms to the Assignment Problem (NP-Hard Graph Theory)

cifar

CIFAR Image Classification Implementation

compsub

Automated competition form retriever/submitter

convergence-analysis

Analysis of confidence interval width estimating mean of Bernoulli Trials

cookiecutter-minimal

A minimal template for python packages

cookiecutter-pytorch

A Cookiecutter template for PyTorch Deep Learning projects.

cyclegan

PyTorch implementation of paper: https://arxiv.org/abs/1703.10593

cyclegan-music-style-transfer-1

Symbolic Music Genre Transfer with CycleGAN

efficientnet-pytorch

A PyTorch implementation of EfficientNet

explore_australia

Access to Australia-wide public data for OZ Minerals/Unearthed Explorer challenge

forecast-veg

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health

google-cloud-sdk-feedstock

A conda-smithy repository for google-cloud-sdk.

h5py

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

h5py-feedstock

A conda-smithy repository for h5py.

haggle

Flask App to deploy Craigslist NLP haggling model

iwd

jigsaw

https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification

khornlund.github.io

Personal website

knausj_talon

Config for talon for Mac, Windows and Linux. Very much in progress.

kornia

Open Source Differentiable Computer Vision Library for PyTorch

kotw

lotcs

pycondor

Build and submit workflows to HTCondor easily

pymodis

python library to work with MODIS data

pytest-html

Plugin for generating HTML reports for py.test results

pytest-jinja

Uses Jinja to convert pytest-json-report output to HTML

pytorch-balanced-sampler

PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced training distribution.