K's repositories
poisson_process_inference
Simple implementation of Tractable and Scalable nonparametric Bayesian inference in NHPP
Fairness-paper-archive
Fairness papers and datasets
frl-with-unreliable-label
Implementation for the AISTATS paper 'Fair Representation Learning with Unreliable Label'
AML_using_Julia
Advanced machine learning using Julia
cikm_exp
inferece with GBM
Language:Jupyter Notebook000
fair-classification
Python code for training fair logistic regression classifiers.
Language:SCSS000
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
000
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
000
MIT000
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Language:Jupyter NotebookApache-2.0000