Reverse Dependencies of numba

The following projects have a declared dependency on numba:

• umep-reqs — no summary
• unbiasedness — Functions for estimating unbiasedness regressions.
• uncertainty-estimation-models — This is the main library for the uncertainty estimation project.
• UniCell — Universal cell segmentation
• unirec — A compact recommender library for universal recommendation systems
• unitcellengine — Lattice unitcell geometry and analysis framework
• unpast — A novel method for unsupervised patient stratification.
• unravel — A dealiasing technique for Doppler radar velocity.
• unsupervised-multimodal-trajectory-modeling — trains mixtures of state space models with expectation maximization
• ur-material — no summary
• uraeus.nmbd.python — Numerical simulation environment of constrained multi-body systems in python.
• urbantrips — A library to process public transit smart card data.
• useful-moonshine — Speech Recognition for Live Transcription and Voice Commands
• usgs-libcomcat — Python wrapper around ComCat web API
• utilitiez — Miscellaneous python utilities
• utilsforecast — Forecasting utilities
• utrees — Unmasking trees for tabular data generation and imputation
• uxarray — Xarray extension for unstructured climate and global weather data analysis and visualization.
• vaex-ml — Machine learning support for vaex
• valis-wsi — no summary
• vallenae — Extract and analyze Acoustic Emission measurement data
• vangogh — Geometry calculations for Fermi GBM
• varvar — Model variance with multiplicative variance trees
• VASPsol — A VASPsol python helper package to simplify calculations and analysis
• vbmc — CPU version of Voxel-based Monte Carlo simulation
• vector — Vector classes and utilities
• vector-vis-graph — Vector visibility graph generation from multivariate time series.
• vectorbt — Python library for backtesting and analyzing trading strategies at scale
• vectorized2d — This is a user-friendly wrapper to numpy arrays, with batteries included and numba-enhanced performance.
• vectorizers — A suite of vectorizers for various data types.
• vectorspace — A more opinionated way to do machine learning 🧅
• vega-sim — Simulator for running self-contained Vega chain on local PC
• velocycle — Bayesian model for RNA velocity estimation of periodic manifolds
• velovae — Bayesian Inference of RNA Velocity
• verde — Processing and gridding spatial data, machine-learning style
• verifyml — An open-source toolkit to implement responsible AI workflows
• vhr-composite — Very high resolution (VHR) Composite Tool
• vhs-decode — Software Decoder for raw rf captures of laserdisc, vhs and other analog video formats
• vianu — Vianu enables developers to access tools applicable to life sciences and healthcare.
• vicinity — Lightweight Nearest Neighbors with Flexible Backends
• VidFlow — making videos at lightspeed
• vimms — A framework to develop, test and optimise fragmentation strategies in LC-MS metabolomics.
• vincenty-cuda-nns — Nearest neighbor search on Earth's surface with a GPU
• vipy — Python Tools for Visual Dataset Transformation
• vis-intern — a system reinforcement learning game splendor for vis intern
• vis-lab — a system reinforcement learning library
• visiongraph — Visiongraph is a high level computer vision framework.
• visions — Visions
• vmat — virtual medical AI toolkit
• vmi — Visual Medical Innovation powered by WANGYiping
• vnlb — A Python implementation of the Video Non-Local Bayes Denoising Method
• vnpy-extra — 基于VNPY进行功能拓展
• voxcity — voxcity is an easy and one-stop tool to output 3d city models for microclimate simulation by integrating multiple geospatial open-data
• voxelcity — voxelcity is an easy and one-stop tool to output 3d city models for microclimate simulation by integrating multiple geospatial open-data
• voxelfuse — A toolkit for processing 3D components made with mixtures of materials and multiple manufacturing processes
• voxelfuse-primitives — Classes for generating primitives using the VoxelFuse library
• voxio — Library for ingesting and processing voxel (3D imaging) data
• VoxRasterLAS — Library for voxelising and rasterising LASPY objects
• vpplib — simulating distributed energy appliances in a virtual power plant
• vpso — Myopic and Non-Myopic Global Optimization
• vpss — A Python implementation of Patch Similarity Searching
• vpt-plugin-cellpose — Cellpose Plugin for VPT
• vpt-plugin-watershed — Watershed Plugin for VPT
• vsdm — Vector space integration for dark matter direct detection
• Wake-T — A fast particle tracking code for plasma accelerators.
• walt-server — WalT server components.
• waltlabtools — A collection of tools for biomedical research assay analysis in Python.
• wannierberri — Advanced tool for Wannier interpolation
• Wav2lip-integration — no summary
• Wav2Lipy — Wrapper Package for LipGan Project
• waveformtools — Tools for working with numerical relativity and waveforms data
• wax-ml — A Python library for machine-learning and feedback loops on streaming data
• waypoint-extraction — research project
• we-factor-quad — Factor Quad, a data structure for factor analysis
• week1-test — Provides simple interface for recording audio
• weighted-average — Smooth data across multiple dimensions using weighted averages
• weno4 — WENO-4 Interpolation implemented from Janett et al (2019)
• westac-statistics — Python statistics package for WeStAc, and the Swedish parliamentary proceedings
• wfbase — Easy way to compute from first-principles various properties depending on the electronic structure of periodic solids.
• wflow — wflow hydrological modeling framework
• whisper-applemps — Robust Speech Recognition via Large-Scale Weak Supervision
• whisper-at — Joint speech recognition and audio tagging model.
• whisper-live — A nearly-live implementation of OpenAI's Whisper.
• whisper-mps — with Apple MPS support for OpenAI Whisper
• whisper-worker — no summary
• whisperx-numpy2-compatibility — A compatibility fix to allow whisperx to work with other packages that require numpy>2. Should no longer be required once pull requests on the main package are accepted.
• wildboottest — Wild Cluster Bootstrap Inference for Linear Models in Python
• wilddrummer — Turn sound samples into drums.
• wildwood — scikit-learn compatible alternative random forests algorithms
• window-ops — Implementations of window operations such as rolling and expanding.
• wiphy — The fundamental Python package for wireless signal processing at the physical layer
• wolensing — A package for computing wave optics amplification factor.
• wonterfact — A powerful tool to design any tensor factorization model and estimate the corresponding parameters
• WordFP — A new way to encode words and similarity calculate.
• wotan — Detrending algorithms
• wraplorenzmie — A package to easely fit movies using pylorenzmie.
• WrdSmth — Your Python Text Preprocessing Toolkit
• ws-benchmark — a weak supervision learning benchmark
• wsp-balsa — Python tools for travel demand forecasting applications and analyses
• wstats — An implementation of a few weighted statistics