Python Mlops-environment Resources

python-venv-creator A fast and easy python virtual environment created for linux with some optional pre-installed libraries. Dependencies: The followi

Flask pre-setup architecture. This can be used in any flask project for a faster and better project code structure. All the required libraries are already installed easily to use in any big project.

Multi-agent reinforcement learning algorithm and environment [en/cn] Pytorch implements multi-agent reinforcement learning algorithms including IQL, Q

Python Environment Backup It’s always good to maintain your Python and R Anaconda environment packages properly listed and well-kept in case you have

Go-Bigger: Multi-Agent Decision Intelligence Environment GoBigger Doc (中文版) Ongoing 2021.11.13 We are holding a competition —— Go-Bigger: Multi-Agent

TextWorld A text-based game generator and extensible sandbox learning environment for training and testing reinforcement learning (RL) agents. Also ch

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

General informations Software repository Latest release Total downloads Pypi Code health Branch Tests Coverage Links Documentation Deployment Activity

Cooperative Driving Dataset (CODD) The Cooperative Driving dataset is a synthetic dataset generated using CARLA that contains lidar data from multiple

Website • Docs • Twitter • Join Slack Community What is Label Studio? Label Studio is an open source data labeling tool. It lets you label data types

ClearML - Auto-Magical Suite of tools to streamline your ML workflow Experiment Manager, MLOps and Data-Management ClearML Formerly known as Allegro T

Rent Houses Germany - GCP Pipeline Project: The goal of the project is to extract data about house rentals in Germany, store, process and analyze it u

An question and answer shell environment based on xonsh using ansible for setup

League of Legends Reinforcement Learning Environment (LoLRLE) About This repo contains code to train an agent to play league of legends in a distribut

PENecro This project is based on "Enabling dynamic analysis of Legacy Embedded Systems in full emulated environment", published on hardwear.io USA 202

Databank Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment. No ORM, no frills. Thread-safe. Only ra

CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system

Application launcher and environment management for 21st century games and digital post-production, built with bleeding-rez and Qt.py News Date Releas

PanopticStudio Toolbox This repository has a toolbox to download, process, and visualize the Panoptic Studio (Panoptic) data. Note: Sep-21-2020: Curre

Python Environment Manager A Visual Studio Code extension that provides the ability to via and manage all of your Python environments & packages from

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

VR-Caps: A Virtual Environment for Capsule Endoscopy Overview We introduce a virtual active capsule endoscopy environment developed in Unity that prov

ClearML - Auto-Magical Suite of tools to streamline your ML workflow Experiment Manager, MLOps and Data-Management ClearML Formerly known as Allegro T

Automatic Parallel Parking: Path Planning, Path Tracking & Control This repository contains a python implementation of an automatic parallel parking s

piSTAR Lab WARNING: This is an early release. Overview piSTAR Lab is a modular deep reinforcement learning platform built to make AI experimentation a

pyToledo pyToledo is a Python library to interact with the common virtual learning environment for the Association KU Leuven a.k.a Toledo. Motivation

Navigation 2 SLAM Example This example provides a Unity Project and a colcon workspace that, when used together, allows a user to substitute Unity as

highway-env A collection of environments for autonomous driving and tactical decision-making tasks An episode of one of the environments available in

xkeysnail is yet another keyboard remapping tool for X environment written in Python. It's like xmodmap but allows more flexible remappings.

Bio-OFC gym implementation and Gym-Fly environment This repository includes the gym compatible implementation of the Bio-OFC algorithm from the paper

Model Serving Made Easy BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models. Supports multi

Metaflow Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow

Doom o’clock is a website/project that features a countdown of “when will the earth end” and a greenhouse gas effect emission prediction that’s predicted

churn_model MLOps Toy Example End to End You might find below links useful Connect VSCode to Git MLFlow Port Heroku App Project Organization ├── LICEN

Sparrow is our open-source ML product. It runs on Skipper MLOps infrastructure.

Bodywork deploys machine learning projects developed in Python, to Kubernetes. It helps you to: serve models as microservices execute batch jobs run r

Visual Studio Code C / C++ Environment Initiator Latest Version : v 1.0.1(2021/11/08) .exe link here About : Visual Studio Code에서 C/C++환경을 MinGW GCC/G

AutomaticUSnavigation Investigating automatic navigation towards standard US views integrating MARL with the virtual US environment developed in CT2US

gym_multirotor Gym to train reinforcement learning agents on UAV platforms Quadrotor Tiltrotor Requirements This package has been tested on Ubuntu 18.

A turtlebot auto controller allows robot to autonomously explore environment.

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.

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

page_type languages products description sample python azure azure-machine-learning-service azure-devops Code which demonstrates how to set up and ope

Gradient CLI Get started: Create Account • Install CLI • Tutorials • Docs Resources: Website • Blog • Support • Contact Sales Gradient is an an end-to

vien VIEN is a command-line tool for managing Python Virtual Environments. It provides one-line shortcuts for: creating and deleting environments runn

Geometry Calculator Web The is a simple Flask-based web application that uses a Geometry Calculator Tool created out of assignments from my Intro to P

DocumentPy DocumentPy is a Python application that runs in a command-line interface environment, made for creating HTML documents. Usage DocumentPy, a

wxc wxc (pronounced "which") allows you to inspect source code in your Python environment from the command line. It is based on the inspect module fro

Wagtail Live Gitpod Launch a ready-to-code Wagtail Live development environment with a single click. Steps: Click the Open in Gitpod button. Relax: a

Preference-Planning-Deep-IRL Introduction Check my portfolio post Dependencies Gym stable-baselines3 PyTorch Usage Take Demonstration python3 record.

Exercise to teach a newcomer to the CLSP grid to set up their environment and run jobs

Fastapi + MLflow + streamlit Setup env. I hope I covered all. pip install -r requirements.txt Start app Go in the root dir and run these Streamlit str

Jiminy Cricket This is the repository for "What Would Jiminy Cricket Do? Towards Agents That Behave Morally" by Dan Hendrycks*, Mantas Mazeika*, Andy

python-bootstrap Helper script to bootstrap a Python environment with the tools required to build and install packages. Usage $ python -m bootstrap.bu

datascienv is package that helps your to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

AutoFlask-Setup About AutoFlask-Setup can help you set up a new Flask Project, right from creating virtual environment to creating Procfile for deploy

DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment This repository is related to the paper DEEPAGÉ: Answering Questions in Por

StarkNet Project Template This is an opinionated StarkNet project template. It is based around the Python's ecosystem and best practices. tox to manag

chitra What is chitra? chitra (चित्र) is a multi-functional library for full-stack Deep Learning. It simplifies Model Building, API development, and M

Reinforcement Learning with Q Learning Algorithm Q learning algorithm is trained on the gym's frozen lake environment. Libraries Used gym Numpy tqdm P

AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation A pytorch-version implementation codes of paper:

Sampling-Based Motion Planners' Testing Environment Sampling-based motion planners' testing environment (sbp-env) is a full feature framework to quick

Wafer Fault Detection using MlOps Integration This is an end to end machine learning project with MlOps integration for predicting the quality of wafe

Multi-Car Racing Gym Environment This repository contains MultiCarRacing-v0 a multiplayer variant of Gym's original CarRacing-v0 environment. This env

Environment Inference for Invariant Learning This code accompanies the paper Environment Inference for Invariant Learning, which appears at ICML 2021.

Minimalistic Gridworld Environment (MiniGrid) There are other gridworld Gym environments out there, but this one is designed to be particularly simple

PyPi Conda The Multi-Mission Maximum Likelihood framework (3ML) A framework for multi-wavelength/multi-messenger analysis for astronomy/astrophysics.

pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is

Tangram Website | Discord Tangram makes it easy for programmers to train, deploy, and monitor machine learning models. Run tangram train to train a mo

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

DeepSeaTreasure Environment Installation In order to get started with this environment, you can install it using the following command: python3 -m pip

Swahili-Speech-To-Text Table of Contents Swahili-Speech-To-Text Overview Scenario Approach Project Structure data: models: notebooks: scripts tests: l

TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.

Yadl Yadl - it is a simple library for working with both dotenv files and environment variables. Features Validation of whitespaces. Validation of num

TEACh Task-driven Embodied Agents that Chat Aishwarya Padmakumar*, Jesse Thomason*, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Ge

Graphsignal is a machine learning model monitoring platform. It helps ML engineers, MLOps teams and data scientists to quickly address issues with data and models as well as proactively analyze model performance and availability.

[Book-2021] Practical MLOps O'Reilly Book

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API.

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

Phoenix-Framework Phoenix Framework is an environment for writing, testing and using exploit code. 🖼 Screenshots 🎪 Community PwnWiki Forums 🔑 Licen

Local Spark Dev Env with Docker Development environment for k8s. Using the spark-operator image to ensure it will be the same environment. Start conta

Overview PowerGym is a Gym-like environment for Volt-Var control in power distribution systems. The Volt-Var control targets minimizing voltage violat

Domino Research This repo contains projects under active development by the Domino R&D team. We build tools that help Data Scientists and ML engineers

pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir

DoomNet DoomNet is a ViZDoom agent trained by reinforcement learning. The agent is a neural network that outputs a probability of actions given only p

Python Decouple: Strict separation of settings from code Decouple helps you to organize your settings so that you can change parameters without having

DjEnv: Django + Environment Load Django Settings Directly from Environmental Variables features modify django configuration without modifying source c

Made With ML Applied ML · MLOps · Production Join 30K+ developers in learning how to responsibly deliver value with ML. 🔥 Among the top MLOps reposit

Lux AI interface to RLlib MultiAgentsEnv For Lux AI Season 1 Kaggle competition. LuxAI repo RLlib-multiagents docs Kaggle environments repo Please let

A Python framework for creating reproducible, maintainable and modular data science code.

gym-mtsim: OpenAI Gym - MetaTrader 5 Simulator MtSim is a simulator for the MetaTrader 5 trading platform alongside an OpenAI Gym environment for rein

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

pydock - Docker-based environment manager for Python ⚠️ pydock is still in beta mode, and very unstable. It is not recommended for anything serious. p

Embark is being developed to provide the firmware security analyzer emba as a containerized service and to ease accessibility to emba regardless of system and operating system.

Metaflowbot - Slack Bot for your Metaflow flows! Metaflowbot makes it fun and easy to monitor your Metaflow runs, past and present. Imagine starting a

Phoenix Framework is an environment for writing, testing and using exploit code. 🖼 Screenshots 🎪 Community PwnWiki Forums 🔑 Licen

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.

Gated-Attention Architectures for Task-Oriented Language Grounding This is a PyTorch implementation of the AAAI-18 paper: Gated-Attention Architecture