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100-days-of-ml-code

100 Days of ML Coding

advent_of_code

aws-bootcamp-cruddur

aws-training-general

aws-training-prod

blog

collision-avoidance

Train Collision Avoidance System

cpp_training

crafting-interpreters

create-ml-app

Template Makefile for ML projects in Python.

data-engineering

data-version-control

demo-beginner-concurrency

Demo repo for PyCharm Webcast 2022-Feb-22

dotfiles

Config files.

elia

A terminal ChatGPT client built with Textual

fastai

The fastai deep learning library, plus lessons and tutorials

fastapi-traefik

fastbook

The fastai book, published as Jupyter Notebooks

ghapi

A delightful and complete interface to GitHub's amazing API

ghtop

See what's happening on GitHub in real time (also helpful if you need to use up your API quota as quickly as possible)

github_actions_basics

groovy

Apache Groovy: A powerful multi-faceted programming language for the JVM platform

hello-github-actions

intro-to-ml-with-kubeflow-examples

[WIP] Examples for the Intro to ML with Kubeflow book

jameson-metrics

jenkins-valgrind-sample

Automatically exported from code.google.com/p/jenkins-valgrind-sample

johnnie-metrics-1.0

k8s-on-gce

Use Infra as Code to pop a k8S cluster on gcp

kaggle_bulldozers

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.