David Muhr's repositories
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.
MLJModelInterface.jl
Lightweight package to interface with MLJ
NearestNeighbors.jl
High performance nearest neighbor data structures and algorithms for Julia.
graphtask
Declarative, testable workflows based on directed acyclic graphs (DAGs).
nanopq
Pure python implementation of product quantization for nearest neighbor search
probabilistic-distance
Additional material to "A Probabilistic Transformation of Distance-Based Outliers" published at https://www.mdpi.com/2504-4990/5/3/42
DeepCore
Code for coreset selection methods
ParallelNeighbors.jl
Massively-parallel exact nearest neighbor search in Julia.
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
obsidian-execute-code
Obsidian Plugin to execute code in a note.
fast-ctc-decode
Blitzing Fast CTC Beam Search Decoder
python-kmedoids
Fast K-Medoids clustering in Python with FasterPAM
little-data
Supplementary material for "Little data is often enough for distance-based outlier detection"
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
fastpaced
Private blog of @davnn.
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
General
The official registry of general Julia packages
MLJBase.jl
Core functionality for the MLJ machine learning framework
CategoricalDistributions.jl
Providing probability distributions and non-negative measures over finite sets, whose elements are labelled.
MLJ.jl
A Julia machine learning framework
MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
MLJModels.jl
A place for non-native implementations of the MLJ model API