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David Muhr's Projects

anomalib icon anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

assistant icon assistant

A Visual Studio Code extension to support writing and rewriting based on OpenAI's GPT-3.

autofaiss icon autofaiss

Automatically create Faiss knn indices with the most optimal similarity search parameters.

deep-sad-pytorch icon deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

elm-live icon elm-live

โšกโ€‚A flexible dev server for Elm. Live reload included.

general icon general

The official registry of general Julia packages

graphtask icon graphtask

Declarative, testable workflows based on directed acyclic graphs (DAGs).

little-data icon little-data

Supplementary material for "Little data is often enough for distance-based outlier detection"

mlj.jl icon mlj.jl

A Julia machine learning framework

mljbase.jl icon mljbase.jl

Core functionality for the MLJ machine learning framework

mljmodels.jl icon mljmodels.jl

A place for non-native implementations of the MLJ model API

mljtuning.jl icon mljtuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

nanopq icon nanopq

Pure python implementation of product quantization for nearest neighbor search

nearness icon nearness

An easy-to-use interface for (approximate) nearest neighbors algorithms.

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