jaberkow

250b_class_code

Code for my 250B class

CS250B

Code base for CS 250B (Principles of Artificial Intelligence) projects.

cyphercat

Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.

Docker-Tutorial---Data-Scientists

failing-loudly

Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.11953

FakeFinder

FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.

fast_I_computation

A relatively efficient implementation for calculating the information transmitted by a common neural population model, with joblib enabled thread parallelism.

stochastic_I

A tensorflow implementation for a differentiable stochastic estimator of the information transmitted by a layer of binary neurons

TensorFlowSinkhorn

A tensorflow implementation of the Sinkhorn Distance calculation

WaveRL

jaberkow/TensorFlowSinkhorn

A tensorflow implementation of the Sinkhorn Distance calculation

jaberkow/WaveRL

jaberkow/stochastic_I

A tensorflow implementation for a differentiable stochastic estimator of the information transmitted by a layer of binary neurons

jaberkow/250b_class_code

Code for my 250B class

jaberkow/CS250B

Code base for CS 250B (Principles of Artificial Intelligence) projects.

jaberkow/cyphercat

Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.

jaberkow/Docker-Tutorial---Data-Scientists

jaberkow/failing-loudly

Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.11953

jaberkow/FakeFinder

FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.

jaberkow/fast_I_computation

A relatively efficient implementation for calculating the information transmitted by a common neural population model, with joblib enabled thread parallelism.

jaberkow/info_estimation

A set of tools for estimating information transmission from neural responses

jaberkow/jaberkow.github.io

jaberkow/kaldi_VOiCES

This is the official location of the Kaldi project.

jaberkow/MNE_work

jaberkow/self_organizing

jaberkow/simupy

A framework for modeling and simulating dynamical systems

jaberkow/speech_shift

Demonstrating covariate shift detection using VOiCES

jaberkow/stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

jaberkow/toy-ml-pipeline

Toy example of an applied ML pipeline for me to experiment with MLOps tools.

jaberkow/VOiCES_Toolkit

Scripts and utilities for working with the VOiCES dataset.

jaberkow/VOiCES_utils

Scripts and Utilities for working with the VOiCES dataset