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Zak Jost's Projects

adanet icon adanet

Fast and flexible AutoML with learning guarantees.

antsystem icon antsystem

Code to implement the Ant System as described by Dorigo

baseball-aco icon baseball-aco

An application of Ant Colony Optimization to choosing Daily Fantasy Sports baseball rosters

bayesian-linear-regression icon bayesian-linear-regression

A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/

cc_fraud_proj icon cc_fraud_proj

Playing with the IEEE-CIS Vesta fraud detection competition

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

httr icon httr

httr: a friendly http package for R

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

infogan icon infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

modeling-utilities icon modeling-utilities

A collection of python functionality to reduce boilerplate when sandboxing new model builds.

pycollide icon pycollide

Python package for 2D collision handling of circles

serverless-sagemaker-orchestration icon serverless-sagemaker-orchestration

This example shows how to build a serverless pipeline to orchestrate the continuous training and deployment of a linear regression model for predicting housing prices using Amazon SageMaker, AWS Step Functions, AWS Lambda, and Amazon CloudWatch Events.

slackin icon slackin

Public Slack organizations made easy

zakpy icon zakpy

A personal package of helper/boiler plate functionality

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