phillip1029

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

mmm_stan

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

awesome-mlops

A curated list of references for MLOps

AB-Testing

AllStatesForecast

Code used in Springer Nature/Apress Video Tutorial

apigateway-gcp

GCP API Gateway + Cloud Run + Spring-Boot

applied-nlp-with-transformers

awesome-jupyter

A curated list of awesome Jupyter projects, libraries and resources

bar_chart_race

Create animated bar chart races in Python with matplotlib

botorch

Bayesian optimization in PyTorch

data_wrangling_utils

dbt

dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dockerfiles

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

giswqs

How-To-Document-Data-Science-Projects

This project is part of a blog article published at Medium. We like to give you a step by step guide on how to document your Python Data Science Project effectively as part of your machine learning model development. The solution, we propose, ensures that your documentation is version controlled, shipped with the source code executing your machine learning experiment and made available to your users or co-workers using generally available tools including sphinx, GitHub, Microsoft Azure DevOps, and Azure storage or Azure web Services.

Impractical_Python_Projects

Code & supporting files for chapters in book

innovation-by-data-science

Jupyterlab

Jupyterlab Docker image running as root user with useful extensions and dark theme

minnetonka

Minnetonka is a Python package for business modeling and simulation

nyt-2020-election-scraper

practical-python

Practical Python Programming (course by @dabeaz)

py_forecasttime

PyTorch-Bootcamp-for-Artificial-Neural-Networks-and-Deep-Learning-Applications

Code Repository for PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications, Published by Packt

Resume

Script to generate pdf resume from markdown and css

scikit-hts

Hierarchical Time Series Forecasting with a familiar API

Wav2Lip

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.

witeachai

Witeach.ai is a conversational AI engine built on top of Wit.ai and Wav2Lip. This project is submitted to "Build AI voice interactions with Wit.ai" competition. (https://fbai3.devpost.com/)

xplainable_ts_forecast

zipline

Zipline, a Pythonic Algorithmic Trading Library