956 Open source projects that are alternatives of or similar to Kubeflow

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

Notes from 100 days with Kubernetes

Ready-to-run Docker images containing Jupyter applications

PRML algorithms implemented in Python

Beaker Extensions for Jupyter Notebook

NumFocus Academy - Matplotlib (beginner)

GitHub Action that generates "Open In Colab" Badges for you

Ways of doing Data Science Engineering and Machine Learning in R and Python

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

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

Just a simple radare2 Jupyter kernel

😎 A curated list of awesome Jupyterlab extension projects. 🌠 Detailed introduction with images.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

A complete tutorial in python for Data Analysis and Machine Learning

Kaggle을 처음 접하는 사람들을 위한 문서

jupyter notebook 的思维导图插件

Mercury - data visualize and discovery with Javascript, such as apache zeppelin and jupyter

notebook files as source

Code, prompt and output hiding for Jupyter/IPython notebooks.

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

The hands-on NLTK tutorial for NLP in Python

Jupyter magics and kernels for working with remote Spark clusters

A Jupyter kernel for Dyalog APL

A Jupyter notebook extension for geospatial visualization and analysis

Jupyter magic to allow Node.js code to run in a notebook

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

Docker environment for fast.ai Deep Learning Course 1 at http://course.fast.ai

A drag-and-drop dashboard editor for JupyterLab

Support for jupyter notebook templates in jupyterlab

A web frontend for scheduling Jupyter notebook reports

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

The power of Chart.js with Python

K3ai-core is the core library for the GO installer. Go installer will replace the current bash installer

Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.

Embed visualizations and code from Observable notebooks in Jupyter

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

A pytest plugin for regression testing and regenerating Jupyter Notebooks

Musical Gestures Toolbox for Python

A plugin to select syntax highlighting on Jupyter

🌱 Starter kit for working with the EPIC-KITCHENS-55 dataset for action recognition or anticipation

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

A Jupyter widget for annotating images with bounding boxes

Minimal Jupyter C kernel

📚 Parameterize, execute, and analyze notebooks

Digital Signal Processing - Theory and Computational Examples

Examples using Clustergrammer2 to explore high-dimensional datasets.

A minimal Jupyter Notebook UI for p5.js kernels running in the browser

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

A collection of notebooks of my Machine Learning class written in python 3

📘 The interactive computing suite for you! ✨

A Swift kernel for IPython.

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

A SageMath-based computing environment for binder

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Jupyter Interactive Notebook

Templates for jupyter notebooks