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Sauka's Projects

borisk icon borisk

Bayesian Optimization of Risk Measures

ceml icon ceml

CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

cifar10_challenge icon cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

clustering icon clustering

Overview of clustering algorithms with python implementations.

clustering-methods-comparison icon clustering-methods-comparison

This repository is to demonstrate the descriptions and difference between clustering methods, such as K-means, Agglomerative Clustering, Gaussian Mixture Model, DBSCAN, Spectral Clustering.

course icon course

The Hugging Face course on Transformers

course-dl-tp icon course-dl-tp

"Overview on Validity of Network-based Adversarial Training"

deepimageinpainting icon deepimageinpainting

Deep Image Inpainting using UNET like Vanilla Autoencoder and Partial Convolution based Autoencoder.

dice icon dice

Generate Diverse Counterfactual Explanations for any machine learning model.

edc icon edc

Heuristic best-first algorithm for computing Evidence Counterfactuals (SEDC): explaining the model predictions of any classifier using a minimal set of features, such that removing these features results in a predicted class change.

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

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