Python Production-ml Resources

Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker A example FastAPI PyTorch Model deploy with nvidia/cuda base docker. Model

Machine Learning Engineering for Production (MLOps) Specialization on Coursera (offered by deeplearning.ai) Programming assignments from all courses i

View Demo · Documentation · Medium article 🔍 Overview Eurybia is a Python library which aims to help in : Detecting data drift and model drift Valida

CFE Django Blog THIS IS COMING SOON This is boilerplate code that you can use to learn how to bring Django into production. TLDR; This is definitely c

Click here to be re-directed to the Beat Inspect Streamlit Web-App You are a music producer? Let's get in touch via LinkedIn Fundamental Analytics for

In our solution based on plotly, dash and influxdb, the user will firstly generate the specifications for different robots, and then a wide range of interactive visualizations for different machines for machine power, machine cost, and total cost based on the energy time and total energy getting dynamically from sensors. If a threshold is met, the alert email is generated for further operation.

django-nginx-gunicorn This project is for deploying a production-ready Django project using Nginx and Gunicorn. Running a local server of Django is no

This is a salary prediction website developed with the help of machine learning, this makes prediction of salary on basis of few parameters like interview score, experience test score.

Ontologysim: a Owlready2 library for applied production simulation Ontologysim is an open-source deep production simulation framework, with an emphasi

creosote Identify unused production dependencies and avoid a bloated virtual environment. Quickstart # Install creosote in separate virtual environmen

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

ZenFiles Original Image source: https://www.goodfon.com/wallpaper/x-files-sekretnye-materialy.html And naturally, all credits to the awesome X-Files s

Urbit Sysops Contains some helpful scripts for hosting Urbit. There are two variants included in this repo: one using docker, and one using plain syst

Awesome production machine learning This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, versi

applied-ml Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Lea

musig2-py Experimental musig2 python code, not for production use! This is just for testing things out. All public keys are encoded as 32 bytes, assum

DAG Bakery - WIP 🔧 dag-bakery aims to simplify our DAG development by removing all the boilerplate and duplicated code when defining multiple DAG cro

Puesta en Producción de un modelo de aprendizaje automático con Flask y Heroku L

A minimalistic example of preparing a model for (synchronous) inference in production.

Aerich Introduction Aerich is a database migrations tool for Tortoise-ORM, which is like alembic for SQLAlchemy, or like Django ORM with it's own migr

Lightweight experiment tracking tool for AI/ML individuals and teams. Fits any workflow. Neptune is a lightweight experiment logging/tracking tool tha

Cookiecutter Flask OpenAPI is a template for jumpstarting production-ready Flask projects quickly. It has a well organized and scalable structure. It uses API design first

Machine Learning Model in Production This git is for those who have concern about serving your machine learning model to production. Overview The tuto

It takes time to start a Django Project and make it almost production-ready. A developer needs to spend a lot of time installing required libraries, setup a database, setup cache as well as hiding secrets, configuring `settings` files. With the help of django-setup-cli a developer can start an `almost production ready` project in a minute.

BERT-based Financial Question Answering System In this example, we use Jina, PyTorch, and Hugging Face transformers to build a production-ready BERT-b

simpliest django(uvicorn)+postgresql+nginx docker-compose (ready for production and dev) To run in production: docker-compose up -d Site available on

Eto Labs Python SDK This is the python SDK for Eto, the AI focused data platform for teams bringing AI models to production. The python SDK makes it e

Cookiecutter Django Powered by Cookiecutter, Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly. Documentati

Klein, a Web Micro-Framework Klein is a micro-framework for developing production-ready web services with Python. It is 'micro' in that it has an incr

Open MLOps - A Production-focused Open-Source Machine Learning Framework Open MLOps is a set of open-source tools carefully chosen to ease user experi

ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstractions that are catered towards ML workflows.

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

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab

modelkit Python framework for production ML systems. modelkit is a minimalist yet powerful MLOps library for Python, built for people who want to depl

🌟 HNSW + PostgreSQL Indexer HNSWPostgreSQLIndexer Jina is a production-ready, scalable Indexer for the Jina neural search framework. It combines the

WeKws Production First and Production Ready End-to-End Keyword Spotting Toolkit. The goal of this toolkit it to... Small footprint keyword spotting (K

The following people contributed equally to this repository (in alphabetical order): Daniel Bumke JJX Corstiaen Versteegh This repository is forked on

A class to draw curves expressed as L-System production rules

Dagster An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data f

Board Game Factory Contributors are welcome here! See the end of readme. This is a vector-graphics framework intended for creating and scaling up prod

Numerics Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production Use procedure: Initialise a new i

Production First and Production Ready End-to-End Keyword Spotting Toolkit

Production Ontology Merging (PrOM) Framework OWL 2 DL ontology merging framework tailored to the production domain Features preprocessing: translation

ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstractions that are catered towards ML workflows.

EOD (Easy and Efficient Object Detection) is a general object detection model production framework.

FastAPI and Django Combo This projects aims to combine FastAPI and Django to build a Production ready application capable of utilizing all of the feat

WeNet 中文版 Discussions | Docs | Papers | Runtime (x86) | Runtime (android) | Pretrained Models We share neural Net together. The main motivation of WeN

NVIDIA Merlin NVIDIA Merlin is an open source library designed to accelerate recommender systems on NVIDIA’s GPUs. It enables data scientists, machine

hyperuniversality investment opportunity: what if we could run multiple architectures in a single file, again apple universal binaries, but worse how

Endpoints Quickest API builder in the West! Endpoints is a lightweight REST api framework written in python and used in multiple production systems th

CottonWeeds Deep learning models for classification of 15 common weeds in the southern U.S. cotton production systems. requirements pytorch torchsumma

indomarinefish This package will give us information about the latest total marine fish production in Indonesia. The Name of the fish is written in In

Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud. ☁️

DockerApp A test Django application with production-level docker setup. Blog: https://medium.com/@siddharth.sahu/the-near-perfect-dockerfile-for-djang

Deep Learning Materials by Deep Learning Wizard Start Learning Now Please head to www.deeplearningwizard.com to start learning! It is mobile/tablet fr

Machine learning that just works, for effortless production applications

Django template for Docker + Heroku This is how I set up Django projects to get up and running as quick as possible. In includes a few neat things: De

Cookiecutter Django Powered by Cookiecutter, Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly. Documentati

A production-ready pipeline for text mining and subject indexing

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Serve angular production application from python flask backend. Quick and Easy

✨A Python framework to explore, label, and monitor data for NLP projects

pedalboard is a Python library for adding effects to audio. It supports a number of common audio effects out of the box, and also allows the use of VST3® and Audio Unit plugin formats for third-party effects.

Learn to deploy a FastAPI application into production DigitalOcean App Platform. This is a microservice for our Try Django 3.2 project. The goal is to extract any and all text from images using a technique called OCR.

Progressive Transformers for End-to-End Sign Language Production Source code for "Progressive Transformers for End-to-End Sign Language Production" (B

This project is made to help you scale from a basic Machine Learning project for research purposes to a production grade Machine Learning web service

Evidently helps analyze machine learning models during validation or production monitoring. The tool generates interactive visual reports and JSON profiles from pandas DataFrame or csv files. Currently 6 reports are available.

Brandnew-flask is still in the initial stage and needs to be updated and improved continuously. Everyone is welcome to maintain and improve this CLI.

Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch

Just set of scripts to initialise accpunt with production-like data: A - Basic Distributor Account Initialization INPUT Distributor Account Token ACTI

TorchX is a library containing standard DSLs for authoring and running PyTorch related components for an E2E production ML pipeline

End to End Automatic Speech Recognition In this repository, I have developed an end to end Automatic speech recognition project. I have developed the

banditml is a lightweight contextual bandit & reinforcement learning library designed to be used in production Python services. This library is developed by Bandit ML and ex-authors of Facebook's applied reinforcement learning platform, Reagent.

Cinder is Instagram's internal performance-oriented production version of CPython 3.8. It contains a number of performance optimizations, including bytecode inline caching, eager evaluation of coroutines, a method-at-a-time JIT, and an experimental bytecode compiler that uses type annotations to emit type-specialized bytecode that performs better in the JIT.

Prodmodel is a build system for data science pipelines. Users, testers, contributors are welcome! Motivation · Concepts · Installation · Usage · Contr

MoinMoin - a wiki engine in Python MoinMoin is an easy to use, full-featured and extensible wiki software package written in Python. It can fulfill a

OpenShot Video Editor is an award-winning free and open-source video editor for Linux, Mac, and Windows, and is dedicated to delivering high quality v

FastAPI Model Server Skeleton Serving machine learning models production-ready, fast, easy and secure powered by the great FastAPI by Sebastián Ramíre

Public beta test. Use in production at your own risk! tgcalls - a python binding for tgcalls (c++ lib by Telegram); pytgcalls - library connecting pyt

pluggy - A minimalist production ready plugin system This is the core framework used by the pytest, tox, and devpi projects. Please read the docs to l

FastAPI Model Server Skeleton Serving machine learning models production-ready, fast, easy and secure powered by the great FastAPI by Sebastián Ramíre

Kashgari Overview | Performance | Installation | Documentation | Contributing 🎉 🎉 🎉 We released the 2.0.0 version with TF2 Support. 🎉 🎉 🎉 If you

Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. Main features: Train new vocabularies and tok

Kashgari Overview | Performance | Installation | Documentation | Contributing 🎉 🎉 🎉 We released the 2.0.0 version with TF2 Support. 🎉 🎉 🎉 If you

Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. Main features: Train new vocabularies and tok

Cookiecutter Django Powered by Cookiecutter, Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly. Documentati

Yolov5 running on TorchServe (GPU compatible) ! This is a dockerfile to run TorchServe for Yolo v5 object detection model. (TorchServe (PyTorch librar

FastAPI framework, high performance, easy to learn, fast to code, ready for production Documentation: https://fastapi.tiangolo.com Source Code: https:

Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline

auto_ml Automated machine learning for production and analytics Installation pip install auto_ml Getting started from auto_ml import Predictor from au

FastAPI framework, high performance, easy to learn, fast to code, ready for production Documentation: https://fastapi.tiangolo.com Source Code: https: