Python Kubernetes-experiments Resources

Deploying ML models with CPU based TFServing, Docker, and Kubernetes By: Chansung Park and Sayak Paul This project shows how to serve a TensorFlow ima

Deploying ML models with FastAPI, Docker, and Kubernetes By: Sayak Paul and Chansung Park This project shows how to serve an ONNX-optimized image clas

A basic instruction for Kubernetes setup and understanding Module ID Module Guide - Install Kubernetes Cluster k8s-install 3 Docker Core Technology mo

modern-slam-tutorial-python Learning and feeling SLAM together with hands-on-experiments 😀 😃 😆 Dependencies Most of the examples are based on GTSAM

This repository contains the software implementation of most algorithms used or developed in my research. The LaTeX and Python code for generating the

Connect is a Python Flask project within the cloud-native ecosystem. Second project of Udacity's Cloud Native Nanodegree program, focusing on documenting and architecting a monolith migration to microservices.

GeneDisco ICLR-22 Challenge Starter Repository The starter repository for submissions to the GeneDisco challenge for optimized experimental design in

SW-CV-ModelZoo Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset Framework: TF/Keras 2.7 Training SQLite D

InvariantAncestrySearch This repository contains python code necessary to replicated the experiments performed in our paper "Invariant Ancestry Search

Code for KSDAgg: a KSD aggregated goodness-of-fit test This GitHub repository contains the code for the reproducible experiments presented in our pape

Helperpod is a CLI tool to run a Kubernetes utility pod with pre-installed tools that can be used for debugging/testing purposes inside a Kubernetes cluster.

This is a playground application created with goal of applying full cycle software development using popular technologies like Python, Redis, Docker and Kubernetes.

Checkmk Kubernetes Cluster and Node Collectors Checkmk cluster and node collecto

Django & Kubernetes Learn how to deploy a production-ready Django application in

Python Experiments A Repository which contains python scripts to automate things

Kube OpenID Connect is an application that can be used to easily enable authentication flows via OIDC for a kubernetes cluster. Kubernetes supports OpenID Connect Tokens as a way to identify users who access the cluster. Kube OpenID Connect helps users with it's plugin to authenticate an get kubectl config.

Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. Code, based on the PyTorch framework, for reprodu

Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers This repository contains code to run experiments in the paper "Signal Stre

repro_eval repro_eval is a collection of measures to evaluate the reproducibility/replicability of system-oriented IR experiments. The measures were d

Unsupervised Audio Source Separation Using Differentiable Parametric Source Models This is the source code for the experiments related to the paper Un

Google Kubernetes Engine (GKE) with a Snyk Kubernetes controller installed/configured for Snyk App This example provisions a Google Kubernetes Engine

Khue's Homelab Current status: ALPHA This project utilizes Infrastructure as Code to automate provisioning, operating, and updating self-hosted servic

Home Credit Default Risk: Open Solution This is an open solution to the Home Credit Default Risk challenge 🏡 . More competitions 🎇 Check collection

Google AI Open Images - Object Detection Track: Open Solution This is an open solution to the Google AI Open Images - Object Detection Track 😃 More c

Utilitaire de contrôle de Kubernetes ** What is this ??? ** Every time we use a word in English our manager tells us to use the French translation of

A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches

NOTE: This is still being developed! Setup notes This document uses Jeff Sackmann's tennis data. You can obtain it as follows: git clone https://githu

k8s-tcpdump-webhook A simple tcpdump sidecar injector to demonstrate Kubernetes's Mutating Webhook Build and Deploy Build docker image; docker build -

wordle-operator 🟩 ⬛ 🟩 🟨 ⬛ Play Wordle from any Kubernetes cluster. Using the power of CustomResourceDefinitions and Kubernetes Operators, now you c

Generate FastAPI projects for high performance applications. Based on MVC architectural pattern, WSGI + ASGI. Includes tests, pipeline, base utilities, Helm chart, and script for bootstrapping local Minikube with high available Redis cluster.

This is your launchpad that comes with a variety of applications waiting to run on your kubernetes cluster with a single click.

fake-news-explainability Experiments for fake news explainability project This repository only contains the notebooks used to train the models and eva

Code for the paper Jointly Efficient and Optimal Algorithms for Logistic Bandits, by Louis Faury, Marc Abeille, Clément Calauzènes and Kwang-Sun Jun.

OutliersSlidingWindows A Java implementation of the experiments for the paper "k-Center Clustering with Outliers in Sliding Windows" Dataset generatio

MLops tools review focused on execution using multiple cluster types: slurm, kubernetes, dask...

Gordo Building thousands of models with timeseries data to monitor systems. Table of content About Examples Install Uninstall Developer manual How to

Brain-Inspired Replay A PyTorch implementation of the continual learning experiments with deep neural networks described in the following paper: Brain

Setup and Running Kombu consumers Steps: Install python 3.9 or greater on your s

Operating Systems Lab (ETCS-352) Experiments for Operating Systems Lab (ETCS-352) performed by me in 2021 at uni. All codes are written by me except t

Deep Learning Time Series Forecasting List of state of the art papers focus on deep learning and resources, code and experiments using deep learning f

MicroK8s The smallest, fastest Kubernetes Single-package fully conformant lightweight Kubernetes that works on 42 flavours of Linux. Perfect for: Deve

Code and Experiments for ACL-IJCNLP 2021 Paper Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.

Ansible for DevOps Examples This repository contains Ansible examples developed to support different sections of Ansible for DevOps, a book on Ansible

Kubernetes Volume Autoscaler (with Prometheus) This repository contains a service that automatically increases the size of a Persistent Volume Claim i

Weights and Biases Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to produ

Checkov - Prevent cloud misconfigurations during build-time for Terraform, Cloudformation, Kubernetes, Serverless framework and other infrastructure-as-code-languages with Checkov by Bridgecrew.

Emissary-ingress Emissary-Ingress is an open-source Kubernetes-native API Gateway + Layer 7 load balancer + Kubernetes Ingress built on Envoy Proxy. E

Minimal code and simple experiments to play with Denoising Diffusion Probabilist

Lightning-Hydra-Template A clean and scalable template to kickstart your deep learning project 🚀 ⚡ 🔥 Click on Use this template to initialize new re

No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging Minimal implementation and experiments of "No-Transaction Band N

PyMeasure scientific package PyMeasure makes scientific measurements easy to set up and run. The package contains a repository of instrument classes a

Kubernetes Experiments This repository contains code that I'm using to learn and experiment with Kubernetes. 1. Environment setup minikube kubectl doc

Python project template for Web API with cookiecutter What's this This provides the project template including minimum test/lint/typechecking package

Modern, privacy-friendly, and cookie-free web analytics. Getting started » Screenshots • Features • Office Hours Motivation There are a lot of web ana

Project Faros Project Faros is a reference implimentation of Red Hat OpenShift 4 on small footprint, bare-metal clusters. The project includes referen

The project is an attempt to add to the tox some missing out of the box functionality. Basically it is just an extension for the tool that will be loa

rollup node experiments Test scripts etc. for experimental rollup testing. untested, work in progress python -m venv venv source venv/bin/activate #

Autopilot Docs Paper Forum Hardware Autopilot is a Python framework for performing complex, hardware-intensive behavioral experiments with swarms of n

Equivariant Neural Rendering This repo contains code to reproduce all experiments in Equivariant Neural Rendering by E. Dupont, M. A. Bautista, A. Col

Domain-informed Neural Networks Codes for building and training the neural network model described in Domain-informed neural networks for interaction

Flow Flow is a computational framework for deep RL and control experiments for traffic microsimulation. See our website for more information on the ap

copypod Utility for copying a running Kubernetes pod so you can run commands in a copy of its environment, without worrying about it the pod potential

Ex-model CL Ex-model continual learning is a setting where a stream of experts (i.e. model's parameters) is available and a CL model learns from them

kubernetes-typed mypy plugin to dynamically define types for Kubernetes objects. Features Type checking for Custom Resources Type checking forkubernet

aitk.robots A lightweight Python robot simulator for JupyterLab, Notebooks, and other Python environments. Goals A lightweight mobile robotics simulat

Kong or Kong API Gateway is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugi

Tyk API Gateway Tyk is an open source Enterprise API Gateway, supporting REST, GraphQL, TCP and gRPC protocols. Tyk Gateway is provided ‘Batteries-inc

Pulumi's Infrastructure as Code SDK is the easiest way to create and deploy cloud software that use containers, serverless functions, hosted services,

Experiments and examples converting Transformers to ONNX This repository containes experiments and examples on converting different Transformers to ON

Neural Flows: Efficient Alternative to Neural ODEs [arxiv] TL;DR: We directly model the neural ODE solutions with neural flows, which is much faster a

The Open-Source MLOps Orchestration Framework MLRun is an open-source MLOps framework that offers an integrative approach to managing your machine-lea

Flyte Flyte is a workflow automation platform for complex, mission-critical data, and ML processes at scale Home Page · Quick Start · Documentation ·

Seldon Core: Blazing Fast, Industry-Ready ML An open source platform to deploy your machine learning models on Kubernetes at massive scale. Overview S

Pachyderm: The Data Foundation for Machine Learning Pachyderm provides the data layer that allows machine learning teams to productionize and scale th

Kubeflow the cloud-native platform for machine learning operations - pipelines, training and deployment. Documentation Please refer to the official do

Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).

OnlineSearchRBIS Online Search with Best-Price and Query-Based Predictions This is the implementation of the Robust Binary Interval Search (RBIS) algo

HTSeq DEVS: https://github.com/htseq/htseq DOCS: https://htseq.readthedocs.io A Python library to facilitate programmatic analysis of data from high-t

Sacred Every experiment is sacred Every experiment is great If an experiment is wasted God gets quite irate Sacred is a tool to help you configure, or

Wiremind Kubernetes helper This Python library is a high-level set of Kubernetes Helpers allowing either to manage individual standard Kubernetes cont

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling This repository contains the implementation for the paper Diffusion

The simplest way to deploy your apps in the Cloud Deploy your apps on any Cloud providers in just a few seconds ⚡ Qovery Engine is an open-source abst

Gin Config Authors: Dan Holtmann-Rice, Sergio Guadarrama, Nathan Silberman Contributors: Oscar Ramirez, Marek Fiser Gin provides a lightweight configu

K8s Jobber Operator Quickly implemented Kubernetes controller to enable scheduling of Jobs at a later time. Usage: To schedule a Job later, Set .spec.

operator-template Description TODO: Describe your charm in a few paragraphs of Markdown Usage TODO: Provide high-level usage, such as required config

When BERT Plays the Lottery, All Tickets Are Winning Large Transformer-based models were shown to be reducible to a smaller number of self-attention h

torchx Torchx is a general framework for deep learning experiments under PyTorch based on pytorch-lightning. TODO list gan-like training wrapper text

kctl Rancher Kubernetes API compatible with RKE, RKE2 and maybe others? Documentation is WIP. Quickstart pip install --upgrade kctl Usage from lazycls

Experiments How to reproduce experimental results of Stochastic bandits with groups of similar arms submitted paper ? Section 5 of the paper To reprod

Network, Service & Security Observability for Kubernetes What is Hubble? Getting Started Features Service Dependency Graph Metrics & Monitoring Flow V

Kubernetes Security Webinar [in Russian] YouTube video (October 13, 2021) Authors: Artem Yushkovsky (LinkedIn, GitHub) Maxim Mosharov @ Whitespots.io

Factorized Fourier Neural Operators This repository contains the code to reproduce the results in our NeurIPS 2021 ML4PS workshop paper, Factorized Fo

Everything Tech Resources & Projects About The Project Coming from an engineering background and looking to up skill yourself on a new field can be di

Automatic Face Alignment (AFA) Carl M. Gaspar & Oliver G.B. Garrod You have lots of photos of faces like this: But you want to line up all of the face

Gefyra Gefyra gives Kubernetes-("cloud-native")-developers a completely new way of writing and testing their applications. Over are the times of custo

InfiniteBoost Code for a paper InfiniteBoost: building infinite ensembles with gradient descent (arXiv:1706.01109). A. Rogozhnikov, T. Likhomanenko De

Kubediff: a tool for Kubernetes to show differences between running state and version controlled configuration.

How to use TensorLayer While research in Deep Learning continues to improve the world, we use a bunch of tricks to implement algorithms with TensorLay

Face Recognition: Too Bias, or Not Too Bias? Robinson, Joseph P., Gennady Livitz, Yann Henon, Can Qin, Yun Fu, and Samson Timoner. "Face recognition:

Code has been run on Google Colab, thanks Google for providing computational resources Contents Natural Language Processing（自然语言处理） Text Classificati