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ZGGhauch's Projects

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

aif360 icon 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.

deep_learning_explorations icon deep_learning_explorations

Codes and experiments while learning and exploring deep learning for personal curiosity by doing online courses, personal projects and work.

deeprec icon deeprec

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

finrl icon finrl

FinRL: Financial Reinforcement Learning.

opttest icon opttest

Classical test functions for optimization

pymanopt icon pymanopt

Python toolbox for optimization on manifolds with support for automatic differentiation

pymc icon pymc

Bayesian Modeling in Python

python-scraping icon python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rse-course icon rse-course

Materials for The Alan Turing Institute's Research Software Engineering course

statdist icon statdist

Python package for computing distances (i.e. metrics and divergences) for statistical and machine learning applications

statshypo icon statshypo

Comprehensive collection of methods for statistical hypothesis testing on sample data in Python

tcpdbench icon tcpdbench

The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

uqfem icon uqfem

code for NHERI SimCenter uqFEm application. A desktop application to add UQ and Optimization routines to FEM applications.

us-potus-model icon us-potus-model

Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.

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