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2 search results found

Source code and data analyses for the Sci-Hub Coverage Study

Pulearn ⭐ 172

Positive-unlabeled learning with Python.

Conformal_classification ⭐ 159

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Surrogate Optimization Toolbox for Python

BAC0 - Library depending on BACpypes (Python 3) to build automation script for BACnet applications

Sequana ⭐ 136

Sequana: a set of Snakemake NGS pipelines

Quasigeostrophic model in python

Ristretto ⭐ 94

Randomized Dimension Reduction Library

Conformalized Quantile Regression

Echarts.jl ⭐ 77

Julia package for the Apache ECharts v4 visualization library

Gnuplot_kernel ⭐ 73

A Jupyter/IPython kernel for gnuplot

Coveragepathplanning ⭐ 64

Code pertaining to coverage path planning and area division.

Pytest Notebook ⭐ 42

A pytest plugin for regression testing and regenerating Jupyter Notebooks

CWL+Singularity implementation of an RNA editing workflow

Scikit Elm ⭐ 23

Extreme Learning Machine (ELM) with Scikit-Learn compatibility

Nytimes And Trump ⭐ 19

Topic modeling of the NYTimes news coverage of Trump since he announced his campaign

Explore_australia ⭐ 18

Access to Australia-wide public data for OZ Minerals/Unearthed Explorer challenge

FAstqc DAta PArser - A minimal parser to parse FastQC output data.

Demopycharmproductive ⭐ 14

Rootfinding ⭐ 13

Finding zeros of systems of multivariable functions

Run and time jupyter notebooks

Nnetsauce ⭐ 10

Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

Watches python code and creates test cases

Python_testing ⭐ 9

A jupyter presentation on Python testing: unit test, mocking, and frameworks like pytest, doctest, and unittest.

Functional Analysis of Metagenomes by Likelihood Inference

Covering Input Structure ⭐ 7

Replication package for the paper "Systematically Covering Input Structure" published at ASE 2019

Cropanalysis ⭐ 7

A jupyter notebook with crop analysis algorithms utilizing digital elevation models and multi-spectral imagery (R-G-B-NIR-Rededge-Thermal)

Orographic Precipitation ⭐ 6

LT Model of Orographic Precipitation - A Python Implementation

Mosaicking ⭐ 5

🌏 Jupyter notebook to create mosaics using Pleaides/SPOT imagery with UP42.

Covid19_population_genomics ⭐ 5

Analysis of the population diversity of SARS-CoV-2 within and between individual patients

Miscellaneous Statistical/Machine Learning stuff (currently Python & R)

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