bogdan-kulynych

ai-deadlines

:alarm_clock: AI conference deadline countdowns

libshe

Symmetric somewhat homomorphic encryption library based on DGHV

profiled

Simple profiling decorator for Python

saliency_bias

Twitter algorithmic bias challenge winning submission

textfool

Plausible looking adversarial examples for text classification

trials

Tiny Bayesian A/B testing library

xarms

Сторінка книжкової крамниці «Хармс».

reachml

bogdan-kulynych/saliency_bias

Twitter algorithmic bias challenge winning submission

bogdan-kulynych/profiled

Simple profiling decorator for Python

bogdan-kulynych/batchrun

Dead simple experiment launching and tracking

bogdan-kulynych/dotfiles

Yadm-managed dotfiles for zsh, vim, and tmux.

bogdan-kulynych/riskcal

Measure and calibrate operational privacy risks in differentially private algorithms

bogdan-kulynych/covid_survey

Community analysis of a survey on social behaviour during the Covid pandemic

bogdan-kulynych/ml-sec-tutorial

Tutorial on Security and Privacy of Machine Learning

bogdan-kulynych/reference_implementation

bogdan-kulynych/awesome-twitter-algo

The release of the Twitter algorithm, annotated for recsys

bogdan-kulynych/base_rate_fallacy_demo

Base Rate Fallacy Demo

bogdan-kulynych/biasbounty

bogdan-kulynych/CARLA

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

bogdan-kulynych/crater-analysis

bogdan-kulynych/Differentially-Private-Fine-tuning-of-Language-Models

bogdan-kulynych/dp-transformers

Differentially-private transformers using HuggingFace and Opacus

bogdan-kulynych/eds-pseudo

EDS-Pseudo is a hybrid model for detecting personally identifying entities in clinical reports

bogdan-kulynych/Handcrafted-DP

bogdan-kulynych/HPLB

R package - Implementation of high-probability lower bounds for the total variance distance (Michel et al., 2020)

bogdan-kulynych/id-simulator

A reigns-like yes/no game about being an instructional designer

bogdan-kulynych/jax_privacy

Algorithms for Privacy-Preserving Machine Learning in JAX

bogdan-kulynych/multiplicity

Predictive multiplicity for differentiable models

bogdan-kulynych/opacus

Training PyTorch models with differential privacy

bogdan-kulynych/picklecat

Concatenate or merge pickled Python 3 object, lists, and dictionaries.

bogdan-kulynych/private_histogram_app

bogdan-kulynych/simple-rules

Public repository for simple rules paper

bogdan-kulynych/snowballing

Provides tools for literature snowballing

bogdan-kulynych/synthcity

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

bogdan-kulynych/tabgen

A novel approach for synthesizing tabular data using pretrained large language models

bogdan-kulynych/ucimlrepo

Python package for dataset imports from UCI ML Repository

bogdan-kulynych/YAIB-cohorts

🏥Generate task cohort for the YAIB framework.