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ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adv_nlp_workshop_odsc_europe22

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems

adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

aequalis

Discrimination free Naive Bayes

aequitas

Bias and Fairness Audit Toolkit

amt

Adaptive Monte Carlo Multiple Testing

audit-ai

detect demographic differences in the output of machine learning models or other assessments

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-algofairness

A curated list of awesome algorithmic fairness resources.

awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

compas-analysis

Data and analysis for 'Machine Bias'

concrete-autoencoders

coursera-imperial-college-london-mathematics-for-machine-learning-linear-algebra

Quiz Answers, Assessments, Programming Assignments for the Linear Algebra course.

coursera-mathematics-for-ml

Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.

cvx_short_course

Materials for a short course on convex optimization.

dasp

Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)

datasciencepython

common data analysis and machine learning tasks using python

debiaswe

Remove problematic gender bias from word embeddings.

debugging-data-science

Materials and resources for Debugging Data Science LiveTraining

deep-learning

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_fundamental_factors

Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

ds-wgan

Design of Simulations using WGAN