jeannefukumaru's repositories
cookiecutter-ml
Minimalist project template for reproducible machine learning a la https://drivendata.github.io/cookiecutter-data-science/ and https://blog.mariokrapp.com/Cookiecutter_for_a_more_transparent_and_reproducible_science.html
flask-keras-docker-demo
deploying a Keras ResNet model with Flask and Docker for subsequent monitoring in production
pycon-apac2018
slides and code notebook for pycon apac 2018
aiap-field-guide
week-by-week aiap curriculum
aiap_2.0_unsuperv
Materials for AIAP 2.0 Week of unsupervised learning
aiap_2.0_unsuperv_filled
Filled version of AIAP batch 2 notebooks for Week 3
dask-tutorial
Dask tutorial
fastai_part2
notebooks for fastai deep learning for coders part 2
fasttext-reproducible-pipeline
Example of a reproducible data pipeline. Takes in amazon review data, trains a fasttext sentiment classification model and runs predictions
GE_flight_data
Data Mining Kaggle's GE Flight Data to predict flight delay times
im2latex-tensorflow
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
JupyterWorkflow
Jupyter Workflow Example
lung_cancer_clustering_project
Attempt to reproduce findings from a scientific paper that classifies lung cancer subtypes with hierarchical clustering
MNIST_mlhub
Open source an MNIST model with `mlhub`
nb_dep_ud_sm
Spacy model trained based on Norwegian corpus converted from OBT to Universal dep.
pachy-pipes
analysis workflows made reproducible with pachyderm
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
rf-scratch
Random Forest from Scratch
seldon-serving-fasttext
deploy fasttext-model with seldon
spacy-stanfordnlp
💥 Use the latest StanfordNLP research models directly in spaCy
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-for-pi
retrained graphs to upload to raspberry pi
UD_Indonesian-GSD
Indonesian conversion