Learning Convolutional Neural Networks with Interactive Visualization.
- deep-learning
- visualization
- interactive-visualizations
- visual-learning
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Learning Convolutional Neural Networks with Interactive Visualization.
Deep universal probabilistic programming with Python and PyTorch
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
Data Visualization Components
Open Source Feature Flags, Experimentation, and Product Analytics
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Ready-to-run Docker images containing Jupyter applications
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Multi-user server for Jupyter notebooks
Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
📱📈An elegant, interactive and flexible charting library for mobile.
An open source python library for automated feature engineering
🎨 The adorable charts library for Golang.
Charts library for Android compatible with API 8+, several chart types with scaling, scrolling and animations 📊
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
A library optimized for concise and principled data graphics and layouts.
The Open Source Feature Store for AI/ML
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
A reusable charting library written in d3.js
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
🦋 An Infographic Generation and Rendering Framework, bring words to life with AI!
An implementation of the Grammar of Graphics in R
JavaScript library for HTML5 & CSS3 time sheets
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.