Reverse Dependencies of numba

The following projects have a declared dependency on numba:

• 3DCORE — 3D Coronal Rope Ejection Model
• abacusutils — Python and C/C++ code to read halo catalogs and other Abacus N-body data products
• ablang — AbLang: A language model for antibodies.
• abTEM — no summary
• Accuinsight — Model life cycle and monitoring library in Accuinsight+
• acoular — Python library for acoustic beamforming
• ACROPOLIS — A generiC fRamework fOr Photodisintegration Of LIght elementS
• adam-core — Core libraries for the ADAM platform
• AdaptiveDecisionMaking-2018 — Code and lab resources for Neural and Cognitive Models of Adaptive Decision Making course (2018)
• ADMCode — Code and lab resources for Neural and Cognitive Models of Adaptive Decision Making course (2018)
• adsg-core — Architecture Design Space Graph Core
• adso — A topic-modelling library
• adventurous-gauging-koplik — Decription
• adversarial-robustness-toolbox — Toolbox for adversarial machine learning.
• AeoLiS — A process-based model for simulating supply-limited aeolian sediment transport
• aggmap — Jigsaw-like AggMap: A Robust and Explainable Omics Deep Learning Tool
• ai-db — Analyze your unstructured data
• ai.fri3d — FRi3D model of coronal mass ejections
• ai-traffic-light-simulator — Traffic simulation for traffic light A.I. training
• airportAI-simulator — Airport simulator
• aiutil — A utils Python package for data scientists.
• AlanTA — Private Python library for technical analysis
• algotom — Data processing algorithms for tomography
• algoxtools — A Fast Algorithm X implementation in Python using Numpy and Numba
• alibi — Algorithms for monitoring and explaining machine learning models
• alibi-detect — Algorithms for outlier detection, concept drift and metrics.
• alicona-converter — Convert data between the output format of the alicona microscope and the tribo-x input format
• allcools — Toolkit for single-cell DNA methylome and multiomic data analysis.
• aloy — A Python package containing algorithms and data structures for AI, ML, and Robotics.
• ALP4lib — A module to control Vialux DMDs based on ALP4.X API.It uses the .ddl files provided by Vialux.
• alpa — Alpa automatically parallelizes large tensor computation graphs and runs them on a distributed cluster.
• Alpha-Mind — no summary
• alpha1p — Alpha 1 Pro driver
• alphabase — An infrastructure Python package of the AlphaX ecosystem
• alphaclops-core — A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
• alphaclopsv1 — A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
• alphacsc — Convolutional dictionary learning for noisy signals.
• alphainspect — factor performance visualization
• AlphaPeel — Multilocus and hybrid peeling
• alpharaw — An open-source Python package to unify raw MS data access and storage.
• alphastats — An open-source Python package for automated and scalable statistical analysis of mass spectrometry-based proteomics
• Amazon-DenseClus — Dense Clustering for Mixed Data Types
• amep — Active Matter Evaluation Package for data analysis of active matter simulations
• ampcl — A small example package
• Amplo — Fully automated end to end machine learning pipeline
• amset — AMSET is a tool to calculate carrier transport properties from ab initio calculation data
• amstrax — strax for XAMS data
• anansescanpy — implementation of scANANSE for scanpy objects in Python
• AniMAIRE — Python library for running the anisotropic version of MAIRE+
• animal-classification — classification of animals using machine learning models
• aniposelib — An easy-to-use library for calibrating cameras in python, made for Anipose
• anomalearn — A modular and extensible end-to-end library for time series anomaly detection
• anonymeter — Measure singling out, linkability, and inference risk for synthetic data.
• antakia-ac — no summary
• anticor-features — Anti-correlation based feature selection for single cell datasets
• aotools — A set of useful functions for Adaptive Optics in Python
• ap-features — Package to compute features of traces from action potential models
• APAV — A Python library for Atom Probe Tomography analysis
• APEC — Single cell epigenomic clustering based on accessibility pattern
• apollinaire — Module for helio- and asteroseismic data analysis
• applefy — applefy: A library to compute detection limits for high contrast imaging of exoplanets
• approxbayescomp — Approximate Bayesian Computation for actuaries
• APQC — Based on Accelerated Probabilistic Quantum Clustering
• apricot-select — apricot is a package for submodular selection of representative sets for machine learning models.
• aprofiles — Analysis of atmospheric profilers measurements
• aqlm — Efficiently run models quantized with AQLM
• aquacrop — Soil-Crop-Water model based on AquaCrop-OS.
• aquacrop-pacs27 — Agronomic Model
• aquacrop1 — Soil-Crop-Water model based on AquaCrop-OS.
• arborator — Arborator: Simplifying operationalized pathogen surveillance and outbreak detection
• arenacovid — no summary
• arraylib-solve — Tool to computationally deconvolve combinatorially pooled arrayed random mutagenesis libraries
• artis — Scientific Methods Software Package
• arts-localisation — Localisation of ARTS transients
• arviz — Exploratory analysis of Bayesian models
• asciify-it — Convert your images to awesome ASCII arts!
• ashdisperse — Steady state advection-diffusion-sedimentation solver for volcanic ash dispersion
• asoid — ASOiD: An active learning approach to behavioral classification
• asr-deepspeech — ASRDeepspeech (English / Japanese)
• asrecognition — ASRecognition: just an easy-to-use library for Automatic Speech Recognition.
• assignment-autograder — A simple, secure, and versatile way to automatically grade programming assignments
• astro-brutus — Brute-force Bayesian inference for photometric distances, reddenings, and stellar properties
• astro-polaris — Astrodynamics library in Python
• astrohack — Holography Antenna Commissioning Kit
• astrool — Python package for Astronomers in a Hurry
• astrophysics-toolset — Python package with some astrophysics-related stuff
• astroPIPS — Processes photometric data for variable stars
• astroviper — Astro Visibility and Image Parallel Execution Reduction
• atksh-utils — atksh's utils
• atomap — Library for analysing atomic resolution images
• atommic — Advanced Toolbox for Multitask Medical Imaging Consistency (ATOMMIC)
• audalign — Audio Alignment and Recognition in Python
• audiomate — Audiomate is a library for working with audio datasets.
• audiossl — no summary
• augaudio — A simple audio data augmentation package
• augly — A data augmentations library for audio, image, text, & video.
• Augraphy — Augmentation pipeline for rendering synthetic paper printing and scanning processes
• Aurora — Processing Codes for Magnetotelluric Data
• AutoBrewML — With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
• autocompile — Speed up Python code that has well layed out type hints (works by converting the function to typed cython). Find more info at https://github.com/smpurkis/autocompile