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snorkeldepth's Projects

memae-anomaly-detection icon memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

mmaction2 icon mmaction2

OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark

mnadrc icon mnadrc

An unofficial *re*implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

monorepo icon monorepo

The mitosheet package, trymito.io, and other public Mito code.

mscred icon mscred

Multi-Scale Convolutional Recurrent Encoder-Decoder

mtq icon mtq

Multivariate Tirangular Quantiles for Novelty Detection

murphy-hmm icon murphy-hmm

Fork from Kevin Murphy's HMM toolbox for MATLAB

nerdle icon nerdle

Word game for nerds using PyScript

nmf-toolbox icon nmf-toolbox

Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants

nova icon nova

NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.

object_centric_vad icon object_centric_vad

An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"

oops icon oops

Code for Oops! Predicting Unintentional Action in Video

opengait icon opengait

A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

openunreid icon openunreid

Open-source toolbox for unsupervised or domain adaptive object re-ID.

practical-machine-learning-with-python icon practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

pyannote-audio icon pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

pyannote-core icon pyannote-core

Advanced data structures for handling temporal segments with attached labels.

pyaudioanalysis icon pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pycaret icon pycaret

An open-source, low-code machine learning library in Python

pyflow icon pyflow

Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow

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