Modern, enterprise-ready business intelligence web application.
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The Go Language library for SVG generation.
A Python library for symbolic mathematics.
A visual, stock charting (Candlestick, OHLC, indicators) and technical analysis library built on D3.
Scripts to load several popular datasets including:.
Interactive notebook-based tool to visualize the forward pass of any PyTorch model.
Vaex is a Python library that allows you to visualize large datasets and calculate statistics at high speeds.
A Python Framework for Wind Energy Analysis and Prediction.
ML models and internal tensors 3D visualizer.
A Pythonic algorithmic trading library.
Terloka Data Insight Tool is an interactive, AI-powered data exploration and visualization tool for analytics.
Visualizations for understanding and analyzing machine learning datasets.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
Interactive timeline visualization made by Information Is Beautiful.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
JSMLT - Machine learning toolkit with classification and clustering for Node.js; supports visualization (see ).
Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms.
University of Virginia School of Data Science advances data science and AI through interdisciplinary research, education, and collaboration.
Data-to-paper: AI-driven research from data to human-verifiable research papers.
Simple and friendly way of teaching your non-data scientist/non-statistician colleagues. From Geckoboard's Data Literacy Lessons.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
The SuperDataScience podcast with Jon Krohn airs the most important topics on machine learning, AI, and data careers. Unleash your data skills.
Supports software work with AI-assisted coding, testing or application development.