Scaling Python Machine Learning
☆53Sep 7, 2023Updated 2 years ago
Alternatives and similar repositories for scalingpythonml
Users that are interested in scalingpythonml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Serverless Python with Ray☆60Oct 14, 2022Updated 3 years ago
- A JupyterLab gallery for presenting and downloading examples☆12Feb 27, 2026Updated 3 months ago
- ☆19Jul 10, 2023Updated 2 years ago
- Distributed Machine Learning with Python, published by Packt☆44Mar 2, 2026Updated 3 months ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Jan 25, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 📖 Documentation for Nebari☆21Updated this week
- ☆15Jul 6, 2025Updated 11 months ago
- Python for Quant Finance -- The New Benchmark☆28Dec 6, 2022Updated 3 years ago
- Collection of utilities for working with BigQuery in Apache Beam☆10Nov 13, 2025Updated 6 months ago
- This is a tutorial of using Kubeflow to build model, train model and deploy model serving.☆14Nov 22, 2022Updated 3 years ago
- Minimal celery example with local filesystem broker + backend☆14Mar 19, 2019Updated 7 years ago
- Simple portfolio analysis and management.☆31Nov 18, 2021Updated 4 years ago
- A set of example build and release pipelines for deploying Python and Scala to Azure Databricks and HDInsight☆14Jun 4, 2020Updated 6 years ago
- ☆10Sep 30, 2018Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 🧑🏫 Practical guide to big data analysis, with Python☆27Jul 18, 2024Updated last year
- A repo of Flyte-related conference talks☆14Feb 24, 2024Updated 2 years ago
- Shiu Lab code base for Machine Learning implemented in SciKit-Learn☆13Oct 5, 2021Updated 4 years ago
- Testing various methods of moving Arrow data between processes☆17Mar 29, 2023Updated 3 years ago
- ☆14Jul 28, 2023Updated 2 years ago
- A Template for MLOps on Google Cloud Vertex AI☆13Mar 16, 2022Updated 4 years ago
- This package is a ROS service that supports generic machine learning algorithms for supervised classification.☆15Feb 24, 2019Updated 7 years ago
- Faye Ellis, Hands-on AWS Troubleshooting (1127)☆10Jul 12, 2023Updated 2 years ago
- Demonstration of alternatives to lme4☆13Aug 12, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆10Aug 19, 2022Updated 3 years ago
- Most recent/important talks given at conferences/meetups☆14Nov 27, 2020Updated 5 years ago
- Examples, tutorials, and how-to guides☆10Apr 24, 2026Updated last month
- This repository contains the source code of the examples provided in the book "Fundamentals of Data Observability" edited by O'Reilly and…☆10Aug 4, 2023Updated 2 years ago
- Git-versioned backup tool for AI coding agent config folders (Claude Code, Cursor, Codex, etc.) with size-based rotation and easy restora…☆29Apr 29, 2026Updated last month
- A project demonstrating how to improve the model accuracy by suppression the false postive using an assessor model☆10Aug 13, 2021Updated 4 years ago
- Project for cd12354: Movie Picture Pipeline☆12Aug 2, 2024Updated last year
- the server backend for ml-dash☆10Apr 21, 2025Updated last year
- Working Proof of Concept of IOTA's MAM technology using Live Nodes to push and receive messages inside tangle☆19May 12, 2018Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This project is to develop tools for investment decision-making and make investment analysis using data science techniques.☆54Jan 3, 2023Updated 3 years ago
- ☆26Feb 9, 2025Updated last year
- 10 Machine Learning Blueprints You Should Know for Cybersecurity, published by Packt☆30Apr 22, 2026Updated last month
- Finance Technical Indicators optimized with Numba☆11Mar 15, 2018Updated 8 years ago
- Rust version of Lodash☆11Jul 5, 2023Updated 2 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14May 17, 2020Updated 6 years ago
- Repository with required files for automated ML worshops☆21Mar 28, 2019Updated 7 years ago