This is your work, valued

Ottawa, Ontario, Canada

Leland McInnes

Elite
@lmcinnes

umap. Uniform Manifold Approximation and Projection

8.2k

pynndescent. A Python nearest neighbor descent for approximate nearest neighbors

969

glasbey. Algorithmically create or extend categorical colour palettes

236

enstop. Ensemble topic modelling with pLSA

113

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

102

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

56

umap_paper_notebooks. Notebooks in support of the UMAP paper

44

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

43

hdbscan_paper. Source files and notebooks for a paper on accelerating HDBSCAN*

36

datamapplot_examples. Hosting examples of interactive datamapplot output

33

hypergraph. A library for hypergraphs and hypergraph algorithms

29

thisnotthat. A visual labeling system implemented in Jupyter widgets.

11

kereru. A density based clustering library

8

tdc. Topological Density-based Clustering

8

bayesian_tsne. A flexible Bayesian approach to t-SNE dimension reduction.

7

topic_mapping. HTML

7

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

5

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

4

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

4

hyperspy. Multidimensional data analysis

4

LargeVis. C++

4

scikit-learn. scikit-learn: machine learning in Python

3

umap_doc_notebooks. Notebooks used to generate some of the UMAP documentation

3

text-clustering. Python

3

TextMAP. Tools for word and document embedding using UMAP

3

vectorizers. Vectorizers for a range of different data types

2

jupyter-tutorial. "The world of Jupyter"—a tutorial

2

embetter. just a bunch of useful embeddings

2

ann-benchmarks. Benchmarks of approximate nearest neighbor libraries in Python

2

datashader. Quickly and accurately render even the largest data.

2

bokeh. Interactive Web Plotting for Python

2

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

2

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

1

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

1

fidgit. An ungodly union of GitHub and Figshare

1

hdbscan-feedstock. A conda-smithy repository for hdbscan.

1

scipy2018-jupyterlab-tutorial. Tutorial material and instruction for scipy 2018 jupyterlab tutorial

1

scipy. Scipy library main repository

1

python3statement.github.io. CSS

1

geomstats. Computations and statistics on manifolds with geometric structures.

1

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

1

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

1

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

1

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

1

readthedocs.org. source code to readthedocs.org

1

conf. A collection of talks and tutorials from conferences I attend

1