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mondrianforest

Code for Mondrian Forests (for classification and regression)

mondrianforest-1

An online random forest implementaion written in Python.

moneyball

Moneyball Demo (Public Version)

mooc-coursera-advanced-machine-learning

Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

morfist

Multi-target Random Forest implementation that can mix both classification and regression tasks

motor-defect-detector-python

mqr

Multiple-Output Quantile Regression

mrmr

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

mssa

Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series

mtgnn

multi-class-probabilistic-classification

Multi-class probabilistic classification using inductive and cross Venn–Abers predictors

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

multinerf

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

multirocket

Multiple pooling operators and transformations for fast and effective time series classification

multivalidprediction

multivap

Multiclass generalization of the binary IVAP defense against adversarial examples

multivariate-deep-learning

multivariate-time-series-data

multivariatebenchmark

mvts_transformer

Multivariate Time Series Transformer, public version

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

n-beats

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

n-beats-1

n-hits

nab

The Numenta Anomaly Benchmark

nannyml

Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.

nbeatsx

neoml

Machine learning framework for both deep learning and traditional algorithms

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural-storyteller

A recurrent neural network for generating little stories about images