111 Repositories
Python production-engineer Libraries
[Machine Learning Engineer Basic Guide] 부스트캠프 AI Tech - Product Serving 자료
Boostcamp-AI-Tech-Product-Serving 부스트캠프 AI Tech - Product Serving 자료 Repository 구조 part1(MLOps 개론, Model Serving, 머신러닝 프로젝트 라이프 사이클은 별도의 코드가 없으며, part
Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker
Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker A example FastAPI PyTorch Model deploy with nvidia/cuda base docker. Model
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Machine Learning Engineering for Production (MLOps) Specialization on Coursera (offered by deeplearning.ai) Programming assignments from all courses i
⚓ Eurybia monitor model drift over time and securize model deployment with data validation
View Demo · Documentation · Medium article 🔍 Overview Eurybia is a Python library which aims to help in : Detecting data drift and model drift Valida
Boilerplate Django Blog for production deployments!
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
Audio-analytics for music-producers! Automate tedious tasks such as musical scale detection, BPM rate classification and audio file conversion.
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
dash-manufacture-spc-dashboard is a dashboard for monitoring read-time process quality along manufacture production line
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.
Deploying a production-ready Django project using Nginx and Gunicorn
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
A demo project to elaborate how Machine Learn Models are deployed on production using Flask API
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: a Owlready2 library for applied production simulation Ontologysim is an open-source deep production simulation framework, with an emphasi
Identify unused production dependencies and avoid a bloated virtual environment.
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 docker-based Django application into a Kubernetes cluster into production on DigitalOcean
Django & Kubernetes Learn how to deploy a production-ready Django application in
A repository for all ZenML projects that are specific production use-cases.
ZenFiles Original Image source: https://www.goodfon.com/wallpaper/x-files-sekretnye-materialy.html And naturally, all credits to the awesome X-Files s
The Social-Engineer Toolkit (SET) is specifically designed to perform advanced attacks against the human element.
The Social-Engineer Toolkit (SET) The Social-Engineer Toolkit (SET) is specifically designed to perform advanced attacks against the human element. SE
Source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree.
self-driving-car In this repository I will share the source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree. Hope this might
Scripts for hosting urbit in production-ish
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
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Awesome production machine learning This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, versi
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
applied-ml Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Lea
A curated list of awesome DataOps tools
Awesome DataOps A curated list of awesome DataOps tools. Awesome DataOps Data Catalog Data Exploration Data Ingestion Data Lake Data Processing Data Q
Developing your First ML Workflow of the AWS Machine Learning Engineer Nanodegree Program
Exercises and project documentation for the 3. Developing your First ML Workflow of the AWS Machine Learning Engineer Nanodegree Program
Experimental musig2 python code, not for production use!
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
Software Engineer Salary Prediction
Based on 2021 stack overflow data, this machine learning web application helps one predict the salary based on years of experience, level of education and the country they work in.
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Vehicle Detection Video demo Overview Vehicle detection using these machine learning and computer vision techniques. Linear SVM HOG(Histogram of Orien
Dag-bakery - Dag Bakery enables the capability to define Airflow DAGs via YAML.
DAG Bakery - WIP 🔧 dag-bakery aims to simplify our DAG development by removing all the boilerplate and duplicated code when defining multiple DAG cro
Iris-Heroku - Putting a Machine Learning Model into Production with Flask and Heroku
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.
A minimalistic example of preparing a model for (synchronous) inference in production.
A database migrations tool for TortoiseORM, ready to 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
Neptune client library - integrate your Python scripts with Neptune
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.
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
A set of demo of deploying a Machine Learning Model in production using various methods
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.
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
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)
simpliest django(uvicorn)+postgresql+nginx docker-compose (ready for production and dev) To run in production: docker-compose up -d Site available on
The python SDK for Eto, the AI focused data platform for teams bringing AI models to production
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 is a framework for jumpstarting production-ready Django projects quickly.
Cookiecutter Django Powered by Cookiecutter, Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly. Documentati
Klein - A micro-framework for developing production-ready web services with Python
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
A repo containing toolings and software useful for a DevOps Engineer
DevOps-Tooling A repo containing toolings and software useful for a DevOps Engineer (or if you're setting up your Mac from the beginning) Currently se
Open MLOps - A Production-focused Open-Source Machine Learning Framework
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 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.
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.
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
Flyte Flyte is a workflow automation platform for complex, mission-critical data, and ML processes at scale Home Page · Quick Start · Documentation ·
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
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.
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.
An unofficial wrapper for Engineer Man's Piston API
Pistonpy Pistonpy is an API wrapper for the Piston code execution engine by Engineer Man. Key Features Simple modern and efficient Pythonic API using
Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI
Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab
Toolkit for developing and maintaining ML models
modelkit Python framework for production ML systems. modelkit is a minimalist yet powerful MLOps library for Python, built for people who want to depl
A production-ready, scalable Indexer for the Jina neural search framework, based on HNSW and PSQL
🌟 HNSW + PostgreSQL Indexer HNSWPostgreSQLIndexer Jina is a production-ready, scalable Indexer for the Jina neural search framework. It combines the
Network Engineer's Unified Realtime Automation Library
NEURAL is the premiere CLI jockey replacement full stack web/app/database network automation application, providing a "no-code" web app for network engineers developed by a network engineer!
Production First and Production Ready End-to-End Keyword Spotting Toolkit
WeKws Production First and Production Ready End-to-End Keyword Spotting Toolkit. The goal of this toolkit it to... Small footprint keyword spotting (K
Estimating the potential photovoltaic production of buildings (in Berlin)
The following people contributed equally to this repository (in alphabetical order): Daniel Bumke JJX Corstiaen Versteegh This repository is forked on
Desafio proposto pela IGTI em seu bootcamp de Cloud Data Engineer
Desafio Modulo 4 - Cloud Data Engineer Bootcamp - IGTI Objetivos Criar infraestrutura como código Utuilizando um cluster Kubernetes na Azure Ingestão
Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models.
Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow scikit-learn's functionality with fit() and transform() methods to first learn the transforming parameters from data and then transform the data.
A class to draw curves expressed as L-System production rules
A class to draw curves expressed as L-System production rules
An orchestration platform for the development, production, and observation of data assets.
Dagster An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data f
Python framework for creating and scaling up production of vector graphics assets.
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
Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production
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 First and Production Ready End-to-End Keyword Spotting Toolkit
Production Ontology Merging (PrOM) Framework
Production Ontology Merging (PrOM) Framework OWL 2 DL ontology merging framework tailored to the production domain Features preprocessing: translation
ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.
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.
EOD (Easy and Efficient Object Detection) is a general object detection model production framework.
Combine the power of FastAPI and Django to build a production-ready application capable of utilizing all of the best features of both worlds.
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
Reverse engineer your pytorch vision models, in style
🔍 Rover Reverse engineer your CNNs, in style Rover will help you break down your CNN and visualize the features from within the model. No need to wri
Production First and Production Ready End-to-End Speech Recognition Toolkit
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 is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
NVIDIA Merlin NVIDIA Merlin is an open source library designed to accelerate recommender systems on NVIDIA’s GPUs. It enables data scientists, machine
apple's universal binaries BUT MUCH WORSE (PRACTICAL SHITPOST) (NOT PRODUCTION READY)
hyperuniversality investment opportunity: what if we could run multiple architectures in a single file, again apple universal binaries, but worse how
Endpoints is a lightweight REST api framework written in python and used in multiple production systems that handle millions of requests daily.
Endpoints Quickest API builder in the West! Endpoints is a lightweight REST api framework written in python and used in multiple production systems th
Deep learning models for classification of 15 common weeds in the southern U.S. cotton production systems.
CottonWeeds Deep learning models for classification of 15 common weeds in the southern U.S. cotton production systems. requirements pytorch torchsumma
This repository will be a draft of a package about the latest total marine fish production in Indonesia. Data will be collected from PIPP (Pusat Informasi Pelabuhan Perikanan).
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. ☁️
Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud. ☁️
A test Django application with production-level docker setup
DockerApp A test Django application with production-level docker setup. Blog: https://medium.com/@siddharth.sahu/the-near-perfect-dockerfile-for-djang
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
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
Machine learning that just works, for effortless production applications
Get a Django app up and running in dev, test, and production with best practices in 10 minutes
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 is a framework for jumpstarting production-ready Django projects quickly.
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
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
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
Serve angular production application from python flask backend. Quick and Easy
✨Rubrix is a production-ready Python framework for exploring, annotating, and managing data in NLP projects.
✨A Python framework to explore, label, and monitor data for NLP projects
pedalboard is a Python library for adding effects to audio.
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
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.
Source code for "Progressive Transformers for End-to-End Sign Language Production" (ECCV 2020)
Progressive Transformers for End-to-End Sign Language Production Source code for "Progressive Transformers for End-to-End Sign Language Production" (B
Production Grade Machine Learning Service
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
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 a CLI tool used to generate a powerful and mordern flask-app that supports the production environment.
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
Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch
Connect Playground - easy way to fill in your account with production-like objects
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.
TorchX is a library containing standard DSLs for authoring and running PyTorch related components for an E2E production ML pipeline
In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
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.
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.
A knockoff social-engineer toolkit
The Python SE Dopp Kit is a social engineering toolkit with many purposes. It contains 5 different modules designed to be of assistance in different s
Cinder is Instagram's internal performance-oriented production version of CPython
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.
A collection of full-stack resources for programmers.
A collection of full-stack resources for programmers.
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
Prodmodel is a build system for data science pipelines. Users, testers, contributors are welcome! Motivation · Concepts · Installation · Usage · Contr
MoinMoin Wiki Development (2.0+), unstable, for production please use 1.9.x.
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 video editing and animation solutions to the world.
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 Skeleton App to serve machine learning models production-ready.
FastAPI Model Server Skeleton Serving machine learning models production-ready, fast, easy and secure powered by the great FastAPI by Sebastián Ramíre
The earliest beta version of pytgcalls on Linux x86_64 and ARM64! Use in production at your own risk!
Public beta test. Use in production at your own risk! tgcalls - a python binding for tgcalls (c++ lib by Telegram); pytgcalls - library connecting pyt
Roadmap to becoming a machine learning engineer in 2020
Roadmap to becoming a machine learning engineer in 2020, inspired by web-developer-roadmap.
A minimalist production ready plugin system
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 Skeleton App to serve machine learning models production-ready.
FastAPI Model Server Skeleton Serving machine learning models production-ready, fast, easy and secure powered by the great FastAPI by Sebastián Ramíre
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Kashgari Overview | Performance | Installation | Documentation | Contributing 🎉 🎉 🎉 We released the 2.0.0 version with TF2 Support. 🎉 🎉 🎉 If you