Tizpaz

AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Computational-Approaches

CREEDS-AI

AI Research Experience for Teachers

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

CSrankings

A web app for ranking computer science departments according to their research output in selective venues.

DASS

Designing and Assessing Accountable Tax Software Systems

Deep-Learning-Experiments

Notes and experiments to understand deep learning concepts

DNN4TimingLeak

Parfait-ML

Implementations for detecting and understanding biases in ML libraries

Tizpaz/Parfait-ML

Implementations for detecting and understanding biases in ML libraries

Tizpaz/DNN4TimingLeak

Tizpaz/AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

Tizpaz/AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Tizpaz/Computational-Approaches

Tizpaz/CREEDS-AI

AI Research Experience for Teachers

Tizpaz/cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

Tizpaz/CSrankings

A web app for ranking computer science departments according to their research output in selective venues.

Tizpaz/DASS

Designing and Assessing Accountable Tax Software Systems

Tizpaz/Deep-Learning-Experiments

Notes and experiments to understand deep learning concepts

Tizpaz/DPFuzz

DPFuzz: Differential Performance Fuzzing and Debugging for Machine Learning Libraries

Tizpaz/guava

Google Core Libraries for Java

Tizpaz/fairlearn

A Python package to assess and improve fairness of machine learning models.

Tizpaz/performance

Python Performance Benchmark Suite

Tizpaz/ppl-final-proj

Chi Huynh and Jacob Henson - Lettuce Debugger for the final project for PPL - Principles of Programming Languages

Tizpaz/pyextremes

Extreme Value Analysis (EVA) in Python

Tizpaz/TenForty

Tizpaz/Tizpaz.github.io