co234

COMP5318

Tutorial materials for COMP5318-USYD

poisson_process_inference

Simple implementation of Tractable and Scalable nonparametric Bayesian inference in NHPP

Fairness-paper-archive

Fairness papers and datasets

DBRF

Implementation for the submitted paper 'De-biased Representation Learning for Fairness'

frl-with-unreliable-label

Implementation for the AISTATS paper 'Fair Representation Learning with Unreliable Label'

gp

AML_using_Julia

Advanced machine learning using Julia

cikm_exp

inferece with GBM

CL_Fair

Implementation for the AAAI paper "Mitigating Label Bias in Machine Learning: Fairness through Confident Learning"

fair-classification

Python code for training fair logistic regression classifiers.

K

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

SNMHawkesBeta

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations