https://github.com/awslabs/amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
leval
[ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark
@stdlib/math-base-special-besselj1
Compute the Bessel function of the first kind of order one.
@stdlib/stats-base-dists-levy-pdf
Lévy distribution probability density function (PDF).
discrim
Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package
https://github.com/compas-dev/compas_viewer
Viewer for COMPAS based on PyOpenGL and PySide6.
vikunja
Vikunja is a performance portable algorithm library that defines functions operating on ranges of elements for a variety of purposes . It supports the execution on multi-core CPUs and various GPUs. Vikunja uses alpaka to implement platform-independent primitives such as reduce or transform.
argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
https://github.com/Azure/azure-sdk-for-go
This repository is for active development of the Azure SDK for Go. For consumers of the SDK we recommend visiting our public developer docs at:
tts-scores
Scripts for computing the Intelligibility and CLVP scores for evaluating TTS models
https://github.com/ppdebreuck/modnet
MODNet: a framework for machine learning materials properties
https://github.com/alleninstitute/npc_sessions
Tools for accessing and packaging data from behavior and epyhys sessions from the Mindscope Neuropixels team, in the cloud.
@stdlib/strided-base-smap
Apply a unary function accepting and returning single-precision floating-point numbers to each element in a single-precision floating-point strided input array and assign each result to an element in a single-precision floating-point strided output array.
rbiom
An R Package for Streamlined Microbiome Analysis and Automated Statistical Visualization
fcd
Fréchet ChemNet Distance: A quality measure for generative models for molecules
intergraph
R package for converting network data objects between different classes
@stdlib/stats-padjust
Adjust supplied p-values for multiple comparisons via a specified method.
@stdlib/strided-napi-smskmap
C API for registering an N-API module exporting a strided array interface for applying a unary callback accepting and returning single-precision floating-point numbers to each element in a single-precision floating-point strided input array according to a corresponding element in a strided mask array and assigning results to elements in a single-precision floating-point strided output array.
align
Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.
baltic
baltic - backronymed adaptable lightweight tree import code for molecular phylogeny manipulation, analysis and visualisation. Development is back on the evogytis/baltic branch (i.e. here).
https://github.com/doi-usgs/linesink-maker
Rapidly build GFLOW models from GIS hydrography data
@stdlib/stats-base-dists-frechet-entropy
Fréchet distribution differential entropy.
https://github.com/ami-iit/adam
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
social-network-plan
Social network plan - goals, ideas, step, and tasks for a new site
@stdlib/stats-incr-rss
Compute the residual sum of squares (RSS) incrementally.
@hugoalh/unique-array
An ECMAScript (JavaScript & TypeScript) module to return unique array elements without any duplicated elements by ignore their reference points.
@stdlib/stats-incr-mmeanabs2
Compute a moving arithmetic mean of squared absolute values incrementally.
@stdlib/math-base-special-binet
Evaluate Binet's formula extended to real numbers.
https://github.com/alleninstitute/ipfx
computes intrinsic cell features from intracellular electrophysiology data
https://github.com/awslabs/aws-well-architected-labs
Hands on labs and code to help you learn, measure, and build using architectural best practices.
MonkeyLang
"Writing an Interpreter in GO" and "Writing a Compiler in GO" in Julia.
@stdlib/blas-base-cswap
Interchanges two complex single-precision floating-point vectors.
@stdlib/math-base-tools-evalpoly-compile
Compile a module for evaluating a polynomial.
ui-ux-design-guide
UI/UX Design Guide: this book explains one topic per page, like a big glossary, easy wiki, quick encyclopedia, or summary notes. Edited by Joel Parker Henderson (@joelparkerhenderson).
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
@stdlib/blas-base-dswap
Interchange two double-precision floating-point vectors.
fukkatsu
Dynamic Software Improvement and Mutation using LLMs for Stochastic Synthetic Code Injections
vehicle_collision_prediction_using_cnn-lstms
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
deeperanddeeper
"Enter the deeper trance" is a tunnel runner brought in 3d with autostereograms (magic images). Try to go deeper and deeper through the levels hypnotized by the musical illusion that descend infinitely until you reach the **deeper trance**!
https://github.com/bagustris/a-vb2022_ccc
Another version of https://github.com/bagustris/A-VB2022 using CCC loss function
https://github.com/bagustris/multistage-ser
Repo for paper "MULTITASK LEARNING AND MULTISTAGE FUSION FOR DIMENSIONAL AUDIOVISUAL EMOTION RECOGNITION" at ICASSP 2020
karp-miller
A Coq mechanization of the Karp-Miller algorithm based on Kruskal-AlmostFull
kruskal-almostfull
Library of basic results about Almost Full relations in Coq
https://github.com/datos-fundar/fragmentacion_en_el_estado
Identificación de superposiciones y visualización de los clusters de tareas en las dependencias del estado Argentino.
https://github.com/danymukesha/ad-tf
A complete, executable workflow for identifying transcription factors (TFs) that drive chromatin accessibility changes in Alzheimer’s disease (AD).
@stdlib/stats-incr-rmse
Compute the root mean squared error (RMSE) incrementally.
@stdlib/stats-incr-mmeanabs
Compute a moving arithmetic mean of absolute values incrementally.
kit
R Package: Basic functions implemented in C (and for some missing from base R)