moshesipper Goto Github PK
Name: Moshe Sipper
Type: User
Company: Ben-Gurion University
Bio: Professor of AI & Swashbuckling Buccaneer of Oceanus Verborum
Moshe Sipper's Projects
a-la-carte-activation-functions
Neural Networks with À La Carte Selection of Activation Functions
addgboost
A Gradient Boosting-Style Algorithm Based on Strong Learners
adversarial-image-text
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models. This paper was accepted to European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023 (ECML-PKDD 2023).
applied-machine-learning-course
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
approxml
Fitness Approximation through Machine Learning
attackar
Attackar: Attack of the Evolutionary Adversary
classy-ensemble
Classy Ensemble: A Novel Ensemble Algorithm for Classification
conservation-machine-learning
Conservation Machine Learning
deepgold
Combining Deep Learning with Good Old-Fashioned Machine Learning
ec-kity
EC-KitY: Evolutionary Computation Tool Kit in Python
evoaf
Evolution of Activation Functions for Deep Learning Based Image Classification
evolutionary-sr
Binary and Multinomial Classification through Evolutionary Symbolic Regression
foiling-xai
Foiling Explanations in Deep Neural Networks
high-per-parameter
A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms
omnirep
The OMNIREP algorithm: Coevolving encodings and representations
query-attack
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Convolutional Neural Networks
safe
Solution and Fitness Evolution
symbolic-regression-boosting
Symbolic-Regression Boosting
tenet
Task and Explanation Network
tiny_ga
Tiny Genetic Algorithm in Python
tiny_gp
Tiny Genetic Programming in Python
vae-torch-celeba
A Variational Autoencoder in PyTorch for the CelebA Dataset
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