|
r-hypergea
|
public |
Performs (exact) hypergeometric tests on IxJ and 2x2x2 contingency tables using parallelized C code.
|
2025-04-22 |
|
pysendfile
|
public |
A Python interface to sendfile(2)
|
2025-04-22 |
|
r-rggobi
|
public |
GGobi is an open source visualization program for exploring high-dimensional data. It provides highly dynamic and interactive graphics such as tours, as well as familiar graphics such as the scatterplot, barchart and parallel coordinates plots. Plots are interactive and linked with brushing and identification.
|
2025-04-22 |
|
xframe
|
public |
C++ dataframe
|
2025-04-22 |
|
twofish
|
public |
Bindings for the Twofish implementation by Niels Ferguson
|
2025-04-22 |
|
xeus-cling
|
public |
Cling-based C++ kernel for Jupyter based on xeus
|
2025-04-22 |
|
opentsne
|
public |
Extensible, parallel implementations of t-SNE
|
2025-04-22 |
|
r-pathological
|
public |
Utilities for paths, files and directories.
|
2025-04-22 |
|
r-xtensor
|
public |
R bindings for xtensor, the C++ tensor algebra library
|
2025-04-22 |
|
monetdblite
|
public |
MonetDBLite is a serverless SQL database that runs inside of your Python process and does not require the installation of any external software.
|
2025-04-22 |
|
r-xmisc
|
public |
This is Xiaobei's miscellaneous classes and functions useful when developing R packages, particularly for OOP using R Reference Class.
|
2025-04-22 |
|
squashfs-tools
|
public |
Tools for creating and unpacking squashfs filesystems
|
2025-04-22 |
|
go1.4-bootstrap_osx-64
|
public |
The golang bootstrap compiler (use go for the full golang)
|
2025-04-22 |
|
go1.4-bootstrap_linux-64
|
public |
The golang bootstrap compiler (use go for the full golang)
|
2025-04-22 |
|
cw-eval
|
public |
Evaluation metrics for Geospatial Machine Learning Challenges
|
2025-04-22 |
|
r-rbamtools
|
public |
Provides an R interface to functions of the 'SAMtools' C-Library by Heng Li <http://www.htslib.org/>.
|
2025-04-22 |
|
r-modes
|
public |
Designed with a dual purpose of accurately estimating the mode (or modes) as well as characterizing the modality of data. The specific application area includes complex or mixture distributions particularly in a big data environment. The heterogeneous nature of (big) data may require deep introspective statistical and machine learning techniques, but these statistical tools often fail when applied without first understanding the data. In small datasets, this often isn't a big issue, but when dealing with large scale data analysis or big data thoroughly inspecting each dimension typically yields an O(n^n-1) problem. As such, dealing with big data require an alternative toolkit. This package not only identifies the mode or modes for various data types, it also provides a programmatic way of understanding the modality (i.e. unimodal, bimodal, etc.) of a dataset (whether it's big data or not). See <http://www.sdeevi.com/modes_package> for examples and discussion.
|
2025-04-22 |
|
tsl_robin_map
|
public |
C++ fast hash map and hash set using robin hood hashing
|
2025-04-22 |
|
r-refgenome
|
public |
Contains functionalities for importing and managing downloaded genome annotation data from 'Ensembl' genome browser (European Bioinformatics Institute, <https://www.ensembl.org>) and from 'UCSC' genome browser (University of California, Santa Cruz, <https://genome.ucsc.edu/>) and annotation routines for genomic positions and splice site positions.
|
2025-04-22 |
|
pyctest
|
public |
Python bindings to select portions of CMake/CTest package -- enabling generation of CTests for CDash submission without a CMake build system
|
2025-04-22 |
|
tsl_hopscotch_map
|
public |
C++ hash map and hash set using hopscotch hashing
|
2025-04-22 |
|
datefudge
|
public |
Fake the system date
|
2025-04-22 |
|
r-rgtk2
|
public |
Facilities in the R language for programming graphical interfaces using Gtk, the Gimp Tool Kit.
|
2025-04-22 |
|
r-smoothwin
|
public |
The main function in the package utilizes a windowing function in the form of an exponential weighting function to linear models. The bandwidth and sharpness of the window are controlled by two parameters. Then, a series of tests are used to identify the right parameters of the window (see Hamed Haselimashhadi et al (2019) <https://www.biorxiv.org/content/10.1101/656678v1>).
|
2025-04-22 |
|
go1.4-bootstrap
|
public |
The golang bootstrap compiler (use go for the full golang)
|
2025-04-22 |
