DSP algorithms and utilities written in Rust. Performant, embedded friendly and no_std compatible.
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Updated
Jan 23, 2023 - Rust
DSP algorithms and utilities written in Rust. Performant, embedded friendly and no_std compatible.
Audio to speech/music classification
SegmentAE: A Python Library for Anomaly Detection Optimization
Application for analyzation of data with method Novelty detection
Re-implementation of the SSC-UC method proposed by Schrunner et al. (2020)
Python code for detecting and learning new classes of threats present in crops
Representative code for my Master's Thesis: "Automatic Detection of Foreign Objects in X-Ray Images" (2021).
An NLP pipeline that detects new textual information about UFOs/UAPs
Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments
Improvements over autoencoders in PyTorch
Density Forests for Uncertainty, SIE Master Project, EPFL, Spring Semester 2018
Novelty detection for data streams in Python
Detection of malware bot and botnet activities over DNS / Master's Thesis
An individual project on smartphone authentication using machine learning. Features such as users' tap pressure, x & y coordinates, and keystrokes were obtained to train a novelty detection algorithm
Aggregate data and sample code for the paper: Novelty and Cultural Evolution in Modern Popular Music
Water pipeline leak detection via Novelty detection
Outlier Detection Using Cluster Analysis
Python package to accelerate research on generalized out-of-distribution (OOD) detection.
A simple yet effective post-processing method for detecting unknown intent in dialogue systems based on pre-trained deep neural network classifiers
Python package providing an anomaly (outlier and novelty) detector based on the empirical Christoffel function.
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