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valeman's Projects

rnn-blockwise-jackknife icon rnn-blockwise-jackknife

Codebase for "Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions", ICML 2020.

rnumerai icon rnumerai

R Interface to the Numerai Machine Learning Tournament API

rocket icon rocket

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

rootcp icon rootcp

Computing conformal prediction set without data splitting

rrc icon rrc

Rolling Risk Control

rrcf icon rrcf

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

rssa icon rssa

R package for Singular Spectrum Analysis

rusboost icon rusboost

Classifier of imbalanced data by boosting with random under sampling

sascompetitions icon sascompetitions

Описание алгоритмов для соревнования https://sascompetitions.ru/

saxpy icon saxpy

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

sbd icon sbd

Sub-Band Decomposition for Deep Networks applied to Time-series (Pytorch)

scalene icon scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

scholarwithcode icon scholarwithcode

A simple chrome extension to present the number of available code implementions (via Papers With Code) for articles listed on Google Scholar.

scikit-neuralnetwork icon scikit-neuralnetwork

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

scinet icon scinet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.

scp icon scp

R Package for Spatial Conformal Prediction

sdc-p3 icon sdc-p3

Udacity Self-Driving Car Project 3: Behavior Cloning

sdc-p4 icon sdc-p4

Udacity Self-Driving Car Project 4: Advance Lane Finding

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