Python Habitica-Workflows Resources

AWS DataOps Development Kit (DDK) The AWS DataOps Development Kit is an open source development framework for customers that build data workflows and

Federal University of Rio Grande do Norte Technology Center Department of Computer Engineering and Automation Machine Learning Based Systems Design Re

NB Workflows Description If SQL is a lingua franca for querying data, Jupyter sh

FastAPI Auth Middleware We at Code Specialist love FastAPI for its simplicity an

WATTS (Workflow and Template Toolkit for Simulation) provides a set of Python classes that can manage simulation workflows for multiple codes where information is exchanged at a coarse level.

ToqueIO Nuke tools - A collection of tools designed to assist in enhancing your workflows within nuke

Coin Ticker for Alfred Workflow An Alfred Workflow that provides current price and status about cryptocurrency from cryptocompare.com. Supports Alfred

Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your machine! Motivation Would

Scale complex AI/ML pipelines anywhere CodeFlare is a framework to simplify the integration, scaling and acceleration of complex multi-step analytics

A101AktuelRobot Github Workflows üzerinde Çalışan A101 Aktüel Telegam Bot @A101AktuelRobot 💸 Bağış Yap ☕️ Kahve Ismarla 🌐 Telif Hakkı ve Lisans Copy

Overview BisQue is a web-based platform specifically designed to provide researchers with organizational and quantitative analysis tools for up to 5D

DAG_Generator Random Directed Acyclic Graph Generator verison1.0 简介 工作流通常由DAG（有向无环图）来定义，其中每个计算任务$T_i$由一个顶点(node,task,vertex)表示。同时，任务之间的每个数据或控制依赖性由一条加权

Habitica-Workflow A Habitica Integration with Github Workflows. How To Use? Fork (and Star) this repository. Set environment variable in Settings - S

signac-flow - manage workflows with signac The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, a

Cylc: a workflow engine for cycling systems. Repository master branch: core meta-scheduler component of cylc-8 (in development); Repository 7.8.x branch: full cylc-7 system.

Wooey is a simple web interface to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data anal

Granblue Automation using Template Matching (It is like Full Auto, but with Full Customization!) Discord here: https://discord.gg/5Yv4kqjAbm Android v

Apache Airflow Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are define

Using djmongoauth What is it? djmongoauth provides out-of-the-box support for basic user management and additional operations including user registrat

An open-source, low-code machine learning library in Python 🚀 Version 2.3.5 out now! Check out the release notes here. Official • Docs • Install • Tu

Hera is an Argo Workflows Python SDK. Hera aims to make workflow construction and submission easy and accessible to everyone! Hera abstracts away workflow setup details while still maintaining a consistent vocabulary with Argo Workflows.

Run async workflows using pytest-fixtures-style dependency injection

SDK: Overview of the Kubeflow pipelines service Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on

Make Better Defaults Author: Kjell Wooding [email protected] This is the git repo for Makefiles: One great trick for making your conda environments mo

txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.

This repo contains a library that aims at automatizing some Density Functional Theory (DFT) workflows in VASP by using the ASE toolkit.

Hybrid and Sovereign AI on Anthos Bare Metal Table of Contents Overview Terraform as IaC Substrate ABM Cluster on GCE using Terraform TensorFlow ResNe

A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs, supporting both control flow and dataflow execution paradigms as well as de-centralized CPU & GPU scheduling.

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.

Workflows Samples Workflows allow you to orchestrate and automate Google Cloud and HTTP-based API services with serverless workflows.

SARS-CoV-2 processing requests Request execution of Galaxy SARS-CoV-2 variation analysis workflows on input data you provide. Prerequisites This autom

PICCL: Philosophical Integrator of Computational and Corpus Libraries PICCL offers a workflow for corpus building and builds on a variety of tools. Th

StackStorm is a platform for integration and automation across services and tools, taking actions in response to events. Learn more at www.stackstorm.

Apache Airflow Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are define

BatchFlow BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflo

Scale your pandas workflows by changing one line of code To use Modin, replace the pandas import: # import pandas as pd import modin.pandas as pd Inst

Couler What is Couler? Couler aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo

To launch a live notebook server to test optimus using binder or Colab, click on one of the following badges: Optimus is the missing framework to prof

Wooey is a simple web interface to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data anal