Leland McInnes (lmcinnes)

lmcinnes

Geek Repo

Company:Tutte Institute for Mathematics and Computing

Location:Ottawa, Ontario, Canada

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Leland McInnes's repositories

umap

Uniform Manifold Approximation and Projection

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pynndescent

A Python nearest neighbor descent for approximate nearest neighbors

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glasbey

Algorithmically create or extend categorical colour palettes

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enstop

Ensemble topic modelling with pLSA

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umap_paper_notebooks

Notebooks in support of the UMAP paper

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thisnotthat

A visual labeling system implemented in Jupyter widgets.

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datamapplot_examples

Hosting examples of interactive datamapplot output

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hyperspy

Multidimensional data analysis

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ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

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TextMAP

Tools for word and document embedding using UMAP

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umap_doc_notebooks

Notebooks used to generate some of the UMAP documentation

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bokeh

Interactive Web Plotting for Python

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hdbscan-feedstock

A conda-smithy repository for hdbscan.

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staged-recipes

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

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vectorizers

Vectorizers for a range of different data types

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BERTopic

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

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conda-forge-pinning-feedstock

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

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embetter

just a bunch of useful embeddings

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llm_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

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LOD_text_layer

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

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mpl-third-party

Third-party Packages Webpage

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param_docs

Handle Param sphinx docstrings

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pomegranate

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

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pynndescent-feedstock

A conda-smithy repository for pynndescent.

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sandbox-topically

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

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scanpy

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

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sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

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vectorizers_playground

Using the TIMC Document Vectorizers library

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