Pinned Repositories
biom2lefse
Convert Biom files to a LefSe compatible file format.
ConceptDriftData
Generate synthetic data sets containing concept drift, or load one of two real-world concept drift benchmark data sets.
ConceptDriftResources
A collection of resources for concept drift data and software
eces640-sklearn
Collection of Python codes for implementing dimensionality reduction for ECES640.
IncrementalLearning
Implementation of incremental learning algorithms for Matlab.
OFSE
Online bagging & boosting for feature selection
py-npfs
Python implementation of NPFS
Reweighted-L1-Minimization
Implementation of Iterative Reweighted L1 Minimization
UA-ECE-523-Sp2018
UA-ECE523-EngrAppMLData
This is the code and data repo for the University of Arizona's Machine Learning and Data Analytics (ECE523) course.
gditzler's Repositories
gditzler/adversarial-intrusion-detection
gditzler/cs-kernel-reconstruction
gditzler/adversarial-radioml
gditzler/AdversarialTraining-StochasticEpsilon
gditzler/amc-aml
gditzler/CompSense.jl
gditzler/continual-learning-papers
Continual Learning papers list, curated by ContinualAI
gditzler/ControlSystemFigures
gditzler/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
gditzler/Data-Poison-Incremental-Learning
gditzler/diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
gditzler/ECE09321-SystemsAndControl1
gditzler/ece442542-digitalcontrol-sp2022
gditzler/extreme_verification_latency
Extreme Verification Latency Algorithms.
gditzler/fairlearn
A Python package to assess and improve fairness of machine learning models.
gditzler/GAFNC
Camouflaged Poisoning Attack on Graph Neural Networks
gditzler/gditzler
gditzler/gditzler.github.io
Public webpage for
gditzler/LAMDA-PILOT
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
gditzler/ML-Lecture-Figures
ML-Lecture-Figures
gditzler/mlcsp-data
gditzler/MLL_FSL
gditzler/moviegeek
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
gditzler/multiscale-correction
gditzler/multiscale-learning
gditzler/ProtoShotXAI-1
gditzler/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
gditzler/rc
collection of files for configuring vim, emacs, ...
gditzler/ShadowDefense
Code for our paper "Shadows Aren't So Dangerous"
gditzler/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022