lmcinnes's Repositories

Benchmarks of approximate nearest neighbor libraries in Python

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apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

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A flexible Bayesian approach to t-SNE dimension reduction.

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Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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Interactive Web Plotting for Python

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conda-forge-pinning-feedstock

A conda-smithy repository for conda-forge-pinning.

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A collection of talks and tutorials from conferences I attend

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datamapplot_examples

Hosting examples of interactive datamapplot output

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Quickly and accurately render even the largest data.

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just a bunch of useful embeddings

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Ensemble topic modelling with pLSA

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An ungodly union of GitHub and Figshare

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Computations and statistics on manifolds with geometric structures.

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Algorithmically create or extend categorical colour palettes

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A high performance implementation of HDBSCAN clustering. http://hdbscan.readthedocs.io/en/latest/

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hdbscan-feedstock

A conda-smithy repository for hdbscan.

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Source files and notebooks for a paper on accelerating HDBSCAN*

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A library for hypergraphs and hypergraph algorithms

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Multidimensional data analysis

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A python toolbox for gaining geometric insights into high-dimensional data

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jupyter-tutorial

"The world of Jupyter"—a tutorial

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KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.

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A density based clustering library

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Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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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

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A deck.gl composite layer providing level of detail text support

⭐ 1 🌐 Public

mpl-third-party

Third-party Packages Webpage

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Handle Param sphinx docstrings

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A great intro dataset for data exploration & visualization (alternative to iris).

⭐ 1 🌐 Public

persistence_wasserstein_benchmarking

Tools for benchmarking implementations of Wassersteing-Kantorovich distance between persistence diagrams

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Fast, flexible and easy to use probabilistic modelling in Python.

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A Python nearest neighbor descent for approximate nearest neighbors

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pynndescent-feedstock

A conda-smithy repository for pynndescent.

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python3statement.github.io

⭐ 1 🌐 Public

readthedocs.org

source code to readthedocs.org

⭐ 1 🌐 Public

sandbox-topically

Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.

⭐ 1 🌐 Public

Single-Cell Analysis in Python. Scales to >1M cells.

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scikit-learn: machine learning in Python

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Scipy library main repository

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scipy-2017-sklearn

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

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scipy2018-jupyterlab-tutorial

Tutorial material and instruction for scipy 2018 jupyterlab tutorial

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Statistical data visualization using matplotlib

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Unsupervised text tokenizer for Neural Network-based text generation.

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Slides-SciPyConf-2018

A repository for public storage of slides given at the 17th Python in Science Conferences (2018)

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Semi-Supervised t-SNE using a Bayesian prior based on partial labelling

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A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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subreddit_mapping

Notebooks and data associated to constructing and exploring a map of subreddits.

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Topological Density-based Clustering

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text-clustering

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Tools for word and document embedding using UMAP

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A visual labeling system implemented in Jupyter widgets.

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Uniform Manifold Approximation and Projection

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umap_doc_notebooks

Notebooks used to generate some of the UMAP documentation

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umap_paper_notebooks

Notebooks in support of the UMAP paper

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Vectorizers for a range of different data types

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vectorizers_playground

Using the TIMC Document Vectorizers library

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Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.

⭐ 1 🌐 Public