David Muhr's repositories
ParallelNeighbors.jl
Massively-parallel exact nearest neighbor search in Julia.
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
autofaiss
Automatically create Faiss knn indices with the most optimal similarity search parameters.
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
CategoricalDistributions.jl
Providing probability distributions and non-negative measures over finite sets, whose elements are labelled.
safecheck
Opinionated combination of typechecking libraries for fun and profit.
DeepCore
Code for coreset selection methods
fast-ctc-decode
Blitzing Fast CTC Beam Search Decoder
graphtask
Declarative, testable workflows based on directed acyclic graphs (DAGs).
little-data
Supplementary material for "Little data is often enough for distance-based outlier detection"
MLJBase.jl
Core functionality for the MLJ machine learning framework
MLJModelInterface.jl
Lightweight package to interface with MLJ
MLJModels.jl
A place for non-native implementations of the MLJ model API
MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
nanopq
Pure python implementation of product quantization for nearest neighbor search
NearestNeighbors.jl
High performance nearest neighbor data structures and algorithms for Julia.
obsidian-execute-code
Obsidian Plugin to execute code in a note.
probabilistic-distance
Additional material to "A Probabilistic Transformation of Distance-Based Outliers" published at https://www.mdpi.com/2504-4990/5/3/42
python-kmedoids
Fast K-Medoids clustering in Python with FasterPAM
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai