neurips21-self-supervised-bug-detection-and-repair
Replication Code for "Self-Supervised Bug Detection and Repair" NeurIPS 2021
@stdlib/stats-base-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dstdevch
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.
https://github.com/brainglobe/brainreg-napari
Automated 3D brain registration in napari with support for multiple species and atlases.
ArnoldiMethod
The Arnoldi Method with Krylov-Schur restart, natively in Julia.
tamaas
Tamaas is a C++ library with a Python interface to efficiently solve contact mechanics problems with periodic rough surfaces, plasticity, adhesion and friction.
https://github.com/ctriermaansson/dnafusion
Identification of gene-fusions, including EML4-ALK
https://github.com/khoj-ai/khoj
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
@digitallinguistics/scription2dlx
A JavaScript library that converts scription text files to the Data Format for Digital Linguistics
stk
The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.
https://github.com/althonos/nafcodec
Rust coder/decoder for Nucleotide Archival Format (NAF) files.
https://github.com/cadet/rdm-example-simulated-moving-bed
CADET case study from paper: Efficient numerical simulation of simulated moving bed chromatography with a single-column solver (He et al.)
@stdlib/blas-ext-base-sapxsumkbn2
Add a constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-snanstdevch
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-sstdevyc
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
sitreg
Deep learning intra-modality image registration arhitecture fulfilling strict symmetry properties
@stdlib/blas-ext-base-dsort2sh
Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
biovalidator
JSON validator derived from AJV supporting ontology and taxonomy validation.
pycirclize
Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)
https://github.com/cytomining/copairs
Find profile pairs and compute metrics between them.
pygpsclient
Python Graphical GPS Client Application supporting NMEA, UBX, SBF, RTCM3, NTRIP & SPARTN Protocols
https://github.com/bactopia/bactopia-py
A Python package for working with Bactopia
bikenwgrowth
Source code for the paper "Growing urban bicycle networks", exploring algorithmically the limitations of urban bicycle network growth
@stdlib/stats-base-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dnanstdevwd
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dnanstdevpn
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-snanstdevyc
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dsvariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.
@stdlib/stats-base-nanstdevyc
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
https://github.com/dafny-lang/dafny
Dafny is a verification-aware programming language
functionalplus
Functional Programming Library for C++. Write concise and readable C++ code.
ParallelMergeCSR
Merge-based Parallel Sparse Matrix-Vector Multiplication in Julia
@stdlib/stats-base-snanstdevwd
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
particle_conversion
Transient ODE Solver of heterogeneous particle conversion processes for combustion or gasification processes
@stdlib/blas-ext-base-snansumkbn2
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/datasets-harrison-boston-house-prices-corrected
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@stdlib/stats-base-sstdevwd
Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.
phepy
Intuitive evaluation of out-of-distribution detectors using simple toy examples.
FdeSolver
FdeSolver.jl: A Julia package for the numerical solution of fractional differential equations (FDEs) as well as systems of equations.
uk.ac.cam.ch.wwmm.oscar
OSCAR (Open Source Chemistry Analysis Routines) is an open source extensible system for the automated annotation of chemistry in scientific articles.
pypsa-ariadne
🛑 THIS REPOSITORY IS DEPRECATED 🟢 The story continues at PyPSA-DE High resolution, sector-coupled model of the German Energy System
epidemics
A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
https://github.com/cbib/virhunter
Deep Learning method for novel virus detection in sequencing data
sgvb-psd
Multivariate PSD estimation using VI (https://arxiv.org/abs/2409.13224v1)
vmrseq
An R package for detecting cell-to-cell variably methylated regions (VMRs) from single-cell bisulfite sequencing leveraging probabilistic models.
https://github.com/althonos/mini3di
A NumPy port of the foldseek code for encoding protein structures to 3di.
lpdaac-data-resources
This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.
https://github.com/carla-simulator/carla
Open-source simulator for autonomous driving research.
https://github.com/zenml-io/zenml
ZenML 🙏: MLOps for Reliable AI: from Classical AI to Agents. https://zenml.io.
https://github.com/awslabs/shuttle
Shuttle is a library for testing concurrent Rust code
websites-screenshoter
A project to generate windows content for placement-retrieval tasks
@stdlib/stats-base-svariancetk
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
thesis
Towards Transparency and Open Science: A Principled Perspective on Computational Reproducibility and Preregistration
@stdlib/blas-ext-base-gcusumpw
Calculate the cumulative sum of strided array elements using pairwise summation.
https://github.com/bojarlab/candycrunch
Predicting glycan structure from LC-MS/MS data
@cornerstonejs/adapters
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
cloud-api-adaptor
Ability to create Kata pods using cloud provider APIs aka the peer-pods approach
@hhhtj/draw.io
draw.io is a JavaScript, client-side editor for general diagramming.
https://github.com/juliagaussianprocesses/abstractgps.jl
Abstract types and methods for Gaussian Processes.
MATLABDiffEq
Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem
adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions