Pinned Repositories
ajmemilio
Config files for my GitHub profile.
aws-data-wrangler
Pandas on AWS
cortex
Cloud native model serving infrastructure
deezer-usp2017
My solution to Kaggle Deezer USP 2017 competition.
dotfiles
My dotfiles
fklearn
fklearn: Functional Machine Learning
iris-classification-service
This project aims to train a XGBoost model to classify iris flower using a simple Flask API and Docker.
quora-question-pairs
My solution to Kaggle Quora Question Pairs competition (Top 20%, Public LB log loss 0.17539 and Private LB log loss 0.17220).
vim-files
My personal vim files
k-share
Repository to promote knowledge share
ajmemilio's Repositories
ajmemilio/quora-question-pairs
My solution to Kaggle Quora Question Pairs competition (Top 20%, Public LB log loss 0.17539 and Private LB log loss 0.17220).
ajmemilio/ajmemilio
Config files for my GitHub profile.
ajmemilio/aws-data-wrangler
Pandas on AWS
ajmemilio/cortex
Cloud native model serving infrastructure
ajmemilio/deezer-usp2017
My solution to Kaggle Deezer USP 2017 competition.
ajmemilio/dotfiles
My dotfiles
ajmemilio/fklearn
fklearn: Functional Machine Learning
ajmemilio/iris-classification-service
This project aims to train a XGBoost model to classify iris flower using a simple Flask API and Docker.
ajmemilio/vim-files
My personal vim files
ajmemilio/great_expectations
Always know what to expect from your data.
ajmemilio/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
ajmemilio/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
ajmemilio/returns
Make your functions return something meaningful, typed, and safe!