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intermittent-demand-forecasting-using-markov-chains

This repo contains the code and other resources for demand forecasting.

interpret

Fit interpretable models. Explain blackbox machine learning.

itmo_fs

Feature selection library in python

k-neural-api

K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.

kaggle-steel-defect-detection

My solution to the Severstal: Steel Defect Detection on Kaggle, which got the 96th place. (Top4%)

kaggle-web-traffic

1st place solution

keras-model-selection

Choose the Best Keras Pre-Trained Model for Image Classification

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

learn-tensorflow

Learning Tensorflow Step by Step:: Concepts, Examples & Applications

learnopencv

Learn OpenCV : C++ and Python Examples

lofo-importance

Leave One Feature Out Importance

loss_toolbox-pytorch

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

lrschedules

An implementation of many different types of schedules for the learning rate.

lstm-gru-bilstm-in-tensorflow-for-predictive-analytics

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

machine-learning-practical-guide

mapie

A scikit-learn-compatible module for estimating prediction intervals.

matrixprofile

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

medium

medium-articles

Code I use in my medium blog/articles.

medium-articles-1

medium-code

A place to store my jupyter notebooks for my medium articles

medium_notebook

Repository containing notebooks of my posts on Medium

methods-of-a-b-test

logistic regression/causal random forest/cuped

miceforest

Multiple Imputation with LightGBM in Python

ml-based-feature-selection

This notebook is a one stop shop for ML based feature selection for classification purpose. Once the master data is prepared, we can use this notebook to try out 8 feature selection techniques and combine their results

ml-for-rngs

ml_hacks

Приёмы в машинном обучении

mplcyberpunk

"Cyberpunk style" for matplotlib plots