777 Open Source Jupyter Software Projects
Free and open source jupyter code projects including engines, APIs, generators, and tools.
Sklearn Classification587 ⭐
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Pweave is a scientific report generator and a literate programming tool for Python. It can capture the results and plots from data analysis and works well with numpy, scipy and matplotlib.
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
Jupyter Book2637 ⭐
Create beautiful, publication-quality books and documents from computational content.
Stock Analysis Engine751 ⭐
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Homemade Machine Learning18797 ⭐
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Plotly Express - Simple syntax for complex charts. Now integrated into plotly.py!
Blogger Cli406 ⭐
A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.
Business Machine Learning626 ⭐
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
Aidlearning Framework4596 ⭐
🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Jupyterlab Lsp1163 ⭐
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
Rasbt Watermark593 ⭐
An IPython magic extension for printing date and time stamps, version numbers, and hardware information
.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.
Nteract Hydrogen3767 ⭐
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
Data Science Your Way552 ⭐
Ways of doing Data Science Engineering and Machine Learning in R and Python
A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
Tensorflow Lstm Regression433 ⭐
Engine for ML/Data tracking, visualization, dashboards, and model UI for Polyaxon.
A jupyter notebook serverextension providing config interfaces for nbextensions.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Machine Learning Management & Orchestration Platform (Monorepo for Polyaxon's MLOps Tools)
Cookbook 2nd Code613 ⭐
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Elasticsearch Spark Recommender762 ⭐
Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.
Quickly create live-update GUIs for Python packages using Markdown and simple HTML elements.
Dipanjans Practical Machine Learning With Python1881 ⭐
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.