331 Open source projects that are alternatives of or similar to cartpole-rl-remote

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

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Lightweight and Fast Feature Store Powered by Go (and Rust).

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

A project-based course on the foundations of MLOps with a focus on intuition and application.

GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.

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A set of demo of deploying a Machine Learning Model in production using various methods

FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.

All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.

Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

a simplified machine learning container platform that helps teams get started with an automated workflow

The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.

A tool for training models to Vertex on Google Cloud Platform.

Open source platform for the machine learning lifecycle

Natural Language Processing Best Practices & Examples

Koalas: pandas API on Apache Spark

🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.

A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.

CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Neptune integration with MLflow

Using Kafka-Python to illustrate a ML production pipeline

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

MLFLow Tracking Server based on Docker and AWS S3