This is your work, valued
umap. Uniform Manifold Approximation and Projection
8.2kpynndescent. A Python nearest neighbor descent for approximate nearest neighbors
969glasbey. Algorithmically create or extend categorical colour palettes
236enstop. Ensemble topic modelling with pLSA
113hdbscan. A high performance implementation of HDBSCAN clustering. http://hdbscan.readthedocs.io/en/latest/
102subreddit_mapping. Notebooks and data associated to constructing and exploring a map of subreddits.
56umap_paper_notebooks. Notebooks in support of the UMAP paper
44sstsne. Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
43hdbscan_paper. Source files and notebooks for a paper on accelerating HDBSCAN*
36datamapplot_examples. Hosting examples of interactive datamapplot output
33hypergraph. A library for hypergraphs and hypergraph algorithms
29thisnotthat. A visual labeling system implemented in Jupyter widgets.
11kereru. A density based clustering library
8tdc. Topological Density-based Clustering
8bayesian_tsne. A flexible Bayesian approach to t-SNE dimension reduction.
7topic_mapping. HTML
7scipy-2017-sklearn. Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
5kepler-mapper. KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.
4kmodes. Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
4hyperspy. Multidimensional data analysis
4LargeVis. C++
4scikit-learn. scikit-learn: machine learning in Python
3umap_doc_notebooks. Notebooks used to generate some of the UMAP documentation
3text-clustering. Python
3TextMAP. Tools for word and document embedding using UMAP
3vectorizers. Vectorizers for a range of different data types
2jupyter-tutorial. "The world of Jupyter"—a tutorial
2embetter. just a bunch of useful embeddings
2ann-benchmarks. Benchmarks of approximate nearest neighbor libraries in Python
2datashader. Quickly and accurately render even the largest data.
2bokeh. Interactive Web Plotting for Python
2Slides-SciPyConf-2018. A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
2sandbox-topically. Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.
1hypertools. A python toolbox for gaining geometric insights into high-dimensional data
1fidgit. An ungodly union of GitHub and Figshare
1hdbscan-feedstock. A conda-smithy repository for hdbscan.
1scipy2018-jupyterlab-tutorial. Tutorial material and instruction for scipy 2018 jupyterlab tutorial
1scipy. Scipy library main repository
1python3statement.github.io. CSS
1geomstats. Computations and statistics on manifolds with geometric structures.
1llm_ai_eo. Language Models on the AI Executive Order — Deploying text embeddings and Llama2 to answer questions about the Executive Order on Artificial Intelligence issued by President Biden
1BERTopic. Leveraging BERT and c-TF-IDF to create easily interpretable topics.
1penguins. A great intro dataset for data exploration & visualization (alternative to iris).
1LOD_text_layer. A deck.gl composite layer providing level of detail text support
1readthedocs.org. source code to readthedocs.org
1conf. A collection of talks and tutorials from conferences I attend
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