willfuks's repositories

tfcausalimpact

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

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example_dataproc_twitter

This repository is used as source code for the medium post about implementing a Twitter recommender system using GCP.

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pySearchML

Search system on top of Elasticsearch, Kubeflow and Katib

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djwto

JWT Authentication for Django

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pyClickModels

ClickModels for Search Engines Implemented on top of Cython.

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dbt-flow

Integration tests for dbt

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causalimpact

Python Causal Impact port of Google's Algorithm.

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BigQuery-Workshop-From-Zero-To-Half-Hero

This is intended to be a quick and simple tutorial about BigQuery. Won't make you a hero but will get you half there.

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Pong

Implementation of Reinforcement Learning Policy Gradients algorithms to play Pong game from Atari on top of TF2.

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papis19

Repository used as reference for the PAPIS.IO 2019 Workshop for Recommender Systems

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Phoenix-Search

Repository to test Search Algorithms for eCommerces

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.vim

Vim setup for coding

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asgiref

ASGI specification and utilities

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beam

Mirror of Apache Beam

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CausalImpact-1

An R package for causal inference in time series

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core

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

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cvxpy

A Python-embedded modeling language for convex optimization problems.

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dbt-unit-testing

This dbt package contains macros to support unit testing that can be (re)used across dbt projects.

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developer.bitcoin.org

Bitcoin.org Developer Documentation

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google-cloud-python

Google Cloud Client Library for Python

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lua-dev.nvim

💻 Dev setup for init.lua and plugin development with full signature help, docs and completion for the nvim lua API.

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LunarVim

An IDE layer for Neovim with sane defaults. Completely free and community driven.

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nvim-dap-vscode-js

nvim-dap adapter for vscode-js-debug

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nvim-tree.lua

A file explorer tree for neovim written in lua

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pyDataSP-tfcausalimpact

Presentation used for pyDataSP on the topic of causal impact.

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python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

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python-mip

Collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

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quasar

Quasar Framework - Build high-performance VueJS user interfaces in record time

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starter.lvim

🚀 A great starting point for your LunarVim journey!

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