6346 Open source projects that are alternatives of or similar to Ten Rules Jupyter

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

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strip output from Jupyter and IPython notebooks

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My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

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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.

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DCGAN image generator 🖼️.

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🐍💻📊 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)

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.

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공공데이터 분석

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

FMA: A Dataset For Music Analysis

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Run your code in the cloud, with technology so advanced, it feels like magic!

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An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

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【运筹OR帷幄|数据科学】pandas教程系列电子书

Master gradient-based machine learning. Also secretly a JAX course in disguise!

A Quick Look generator for Jupyter/IPython notebooks without further dependencies

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.