Pinned Repositories
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.
AdrianoMourthe's Repositories
AdrianoMourthe/ConceptDrift
Algorithms for detecting changes from a data stream.
AdrianoMourthe/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.
AdrianoMourthe/deeplearning-models
A collection of various deep learning architectures, models, and tips
AdrianoMourthe/hitchhikers-guide
The Hitchhiker's Guide to Data Science for Social Good
AdrianoMourthe/Machine-Learning-A-Probabilistic-Perspective-Solutions
My solutions to Kevin Murphy Machine Learning Book
AdrianoMourthe/MarcLaidlaw-Epistle3
Just being archived for posterity.
AdrianoMourthe/math-and-ml-notes
Books, papers and links to latest research in ML/AI
AdrianoMourthe/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
AdrianoMourthe/mtss-gan
MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
AdrianoMourthe/n-beats
Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
AdrianoMourthe/N-BEATS-1
AdrianoMourthe/neural-collaborative-filtering
pytorch version of neural collaborative filtering
AdrianoMourthe/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"
AdrianoMourthe/RecSys_Course_2018
This is the official repository for the 2018 Recommender Systems course at Polimi.
AdrianoMourthe/similaripy
Fast Python KNN-Similarity algorithms for Collaborative Filtering models in Recommender System and others.
AdrianoMourthe/timenet