AdrianoMourthe

ConceptDrift

Algorithms for detecting changes from a data stream.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deeplearning-models

A collection of various deep learning architectures, models, and tips

hitchhikers-guide

The Hitchhiker's Guide to Data Science for Social Good

Machine-Learning-A-Probabilistic-Perspective-Solutions

My solutions to Kevin Murphy Machine Learning Book

MarcLaidlaw-Epistle3

Just being archived for posterity.

math-and-ml-notes

Books, papers and links to latest research in ML/AI

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mtss-gan

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

N-BEATS-1

neural-collaborative-filtering

pytorch version of neural collaborative filtering

RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

RecSys_Course_2018

This is the official repository for the 2018 Recommender Systems course at Polimi.

similaripy

Fast Python KNN-Similarity algorithms for Collaborative Filtering models in Recommender System and others.

timenet