1928 Open source projects that are alternatives of or similar to Primehub

Reference deployment of JupyterHub and nbgrader on a single server

A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to Airflow or Kubernetes.

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

A high-level machine learning and deep learning library for the PHP language.

🧬 A JupyterLab extension for annotating data with Prodigy

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

A curated list of awesome Jupyter projects, libraries and resources

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

It understands your voice commands, searches news and knowledge sources, and summarizes and reads out content to you.

⚾🤖⚾ Automatic baseball pitching overlay in realtime

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Setup Kubernetes Cluster with Kubeadm and Vagrant

A launchpad for developers to learn Kubernetes from scratch and deployment of microservices on a kubernetes cluster.

KubeHelper - simplifies many daily Kubernetes cluster tasks through a web interface. Search, analysis, run commands, cron jobs, reports, filters, git synchronization and many more.

Deprecated: JupyterLab extension for running JupyterLab with JupyterHub

Ready-to-run Docker images containing Jupyter applications

A directory sharing service for JupyterHub

Spawn JupyterHub single-user servers with sudo

Documented examples of Jupyterhub deployment in HPC settings

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

Stand up a Raspberry Pi based Kubernetes cluster with Ansible

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Deep Learning Computer Vision Algorithms for Real-World Use

OAuth + JupyterHub Authenticator = OAuthenticator

All-in-one AI container for rapid prototyping

Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

node-http-proxy plus a REST API

Custom Kubernetes controller that can be used to replicate secrets, configmaps and certificates.

An open-source plotting library for statistical data.

A system for quickly generating training data with weak supervision

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Reference deployment of JupyterHub with docker

📘 The interactive computing suite for you! ✨

A store of Helm chart tarballs for deploying JupyterHub and BinderHub on a Kubernetes cluster

📖 [译] 数据科学和人工智能技术笔记

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

📝 This repository recorded my NLP journey.

Monthly Series - Machine Learning Top 10 Open Source Projects

Association Rule Mining from Spatial Data for Crime Analysis

🦉Data Version Control | Git for Data & Models | ML Experiments Management

A curated list of references for MLOps

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

Multi-class confusion matrix library in Python

A site that displays up to date COVID-19 stats, powered by fastpages.

USC urban data science course series with Python and Jupyter

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

GitHub Action for repo2docker

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

A system for assigning and grading notebooks

Learn how to set up the Kubernetes cluster in 30 mins and deploy the application inside the cluster.

Tutorial materials for deploying JupyterHub

High-performance Vision library in Python. Scale your research, not boilerplate.

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Experiment tracking for machine and deep learning projects

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Data augmentation for NLP