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recommenders

Best Practices on Recommendation Systems

recommendersys

This repo shows a set folder with notebooks demonstrating a variety techniques with different approaches for developing recommendation systems.

recsys

Template project for recommender system.

recsys-course-homework

recsys_course

Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.

reinforcement-learning-2nd-edition-notes-codes

Notes and code implementations of examples and algorithms of the book Reinforcement Learning, 2nd Edition

repvgg

Implementing RepVGG in PyTorch

resnet50-weights

retail_store_sales_forecasting

Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and current methods such as Prophet, Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN)

retailhero_recommender

1st place solution

revin

RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift

river

🌊 Online machine learning in Python

roop

one-click deepfake (face swap)

rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

rul_codes_open

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

rulefit

Python implementation of the rulefit algorithm

ruptures

ruptures: change point detection in Python

ruts

Библиотека для извлечения статистик из текстов на русском языке.

salib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

sarima_dashboard

saxpy

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

scalecast

The practitioner's forecasting library

scalecast-examples

Examples of the application of individual scalecast models

schedule

Python job scheduling for humans.

semantic-segmentation-loss-functions

This Repository is implementation of majority of Semantic Segmentation Loss Functions

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

seq2seq-time-series-forecasting-fully-recurrent

Companion repo to Medium article titled "Implementing Seq2Seq Models for Efficient Time Series Forecasting"

sequential_anomaly_detecion

Anomaly detection for Sequential dataset

severstal-exhauster

severstal-steel-defect-detection

Kaggle Segmentation Challenge