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valeman's Projects

sfa icon sfa

Scalable Time Series Data Analytics

shogun icon shogun

The Shogun Machine Learning Toolbox (Source Code)

sidetable icon sidetable

sidetable builds simple but useful summary tables of your data

simple-knn-gzip icon simple-knn-gzip

A simplistic linear and multiprocessed approach to sentiment analysis using Gzip Normalized Compression Distances with k nearest neighbors

sire icon sire

📈 SiRE (Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data), accepted by CIKM'2022 🗽

skab icon skab

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

skforecast icon skforecast

Time series forecasting with scikit-learn models

skin-cancer-detection-mnist icon skin-cancer-detection-mnist

The dataset consists of 10015 dermatoscopic images which can serve as a training set for academic machine learning purposes. The objective to build deep learning model to classify given query image into one of the 7 different classes of skin cancer.

sklearn-benchmarks icon sklearn-benchmarks

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

skpro icon skpro

A unified framework for tabular probabilistic regression and probability distributions in python

sktime icon sktime

A scikit-learn compatible Python toolbox for learning with time series data

sktime-dl icon sktime-dl

sktime companion package for deep learning based on TensorFlow

skyline icon skyline

It'll detect your anomalies! Part of the Kale stack.

slcp icon slcp

Conformal Prediction with Localized De-correlation

smac3 icon smac3

Sequential Model-based Algorithm Configuration

smile icon smile

Statistical Machine Intelligence & Learning Engine

sotawhat icon sotawhat

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

spacetime icon spacetime

Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.

spacetimeformer icon spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

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