Reverse Dependencies of cython

The following projects have a declared dependency on cython:

• ibug — Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
• idea-code — interacting Dynamic Electrons Approach
• iDeLUCS — no summary
• identity_clustering — no summary
• idptools-parrot — no summary
• idptools-starling — Construction of intrinsically disordered proteins ensembles through multiscale generative models
• IHEWAcollect — Water Accounting Collect Tools
• IHEWAdataanalysis — Water Accounting Report Tools
• ikkuna — Ikkuna Neural Network Monitor
• imagefourier — Image fourier analysis library
• imbalanced-spdf — A Python package for imbalanced learning with ensemble learning.
• imgui — Cython-based Python bindings for dear imgui
• iMICSdset-utils — Official APIs for the MS-COCO dataset
• imix — multimodal deep learning framework
• impresso-pipelines — A custom package for language identification subpackage and OCR QA score calculation subpackage (imitating pipelines)
• improveai — Improve AI: AI Decisions for iOS, Android, and the Cloud
• ImputeHiFI — no summary
• indelpost — Python library for simple and complex indels
• IndexMapping — 1D array transpose/conversion
• indic-punct — Punctuation and inverse text normalization for Indic languages and English
• inejsonstat — Library to interact with the INE JSON-Stat API
• inference — With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
• inference-core — With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
• inference-cpu — With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
• inference-gpu — With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
• inodeai — The IndoeAi.com helper package
• inpoly-cython — inpoly-cython / Original: https://github.com/dengwirda/inpoly-python
• INPR — A deep learning based library to detect indian number plates
• insta-webhook-utils-modernization — This package contains the utility functions for Instagram Webhook
• InsurAutoML — Automated Machine Learning/AutoML pipeline.
• intervalframe — Python package for interval manipulation
• inverse — large matrix operations
• invisible-unicorn — Scalable Data Preprocessing Tool for Training Large Language Models
• IOGraph — Generate Plotly Graphs from IOZone Data
• ipanemap — integrative probing analysis of nucleic acids empowered by multiple accessibility profiles
• irf — irf
• iscc-core — ISCC - Core Algorithms
• iscc-sdk — SDK for creating ISCCs (International Standard Content Codes)
• ISDD — ISDD package
• isincython — fast isin() function using Cython (C++) - up to 80 times faster than NumPy/Pandas.
• isobiscuit-engine — no summary
• iva-classification-demo — no summary
• ivystar — python tools package of ivystar
• Jacinle — Jacinle
• jakteristics — Point cloud geometric properties from python.
• jax-dips — Differentiable 3D interfacial PDE solvers written in JAX using the Neural Bootstrapping Method.
• jb-caliban — Calcium Imaging and Behavior Analysis
• jcvi — Python utility libraries on genome assembly, annotation and comparative genomics
• je-paddleocr — Awesome OCR toolkits based on PaddlePaddle(8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embedded and IoT devices)
• jeta — Modules supporting JWST engineering telemetry archiving.
• jgtpyalgotrade — JGT Python Algorithmic Trading. Based on work from : Gabriel Martin Becedillas Ruiz
• jhu-primitives — JHU Python interfaces for TA1 primitives for d3m
• jijzept — Python Interface for Jij-Zept.
• jingzhi — no summary
• jitcsim — Simulation of networks with Ordinary/Delay/Stochastic differential equations (just-in-time compilation
• jlsteenwyk-biokit — no summary
• jmpy3 — python代码一键加密
• jmpy4 — python代码一键加密
• jni — Python bridge for the Java Native Interface.
• joulescope — Joulescope™ host driver and utilities
• jpe-types — slitly improved python types
• jump-reward-inference — A package for fast real-time music joint rhythmic parameters tracking including beats, downbeats, tempo and meter using the BeatNet AI, a super compact 1D state space and the jump back reward technique
• jumpy — Numpy and nd4j interop
• jupiter-negotiation — Simulator for automated negotiation
• jxlpy — JPEG XL integration in Python
• Kaggler — Code for Kaggle Data Science Competitions.
• kaki-cli — Kivy Hotreload
• kalmantv — High-Performance Kalman Filtering and Smoothing
• Kapok — A Python library for PolInSAR forest height estimation using UAVSAR data.
• kaust — Python client for KAUST
• kcwidrp — KCWI Data Reduction Pipeline
• keplertools — Two-body orbital propagation tools
• keras-openmax — Keras implementation of Openmax
• kerasy — A set of python modules for machine learning and data mining especially in the biological field.
• KibisisUtilProject — 수집을 위한 util 모음
• kipoi — Kipoi: model zoo for genomics
• kipoi_interpret — Kipoi interpret: interepretation plugin for Kipoi
• kipoi_veff — kipoi_veff: variant effect prediction plugin for Kipoi
• kipoiseq — kipoiseq: sequence-based data-loaders for Kipoi
• kivy-ios — A toolchain to compile the necessary libraries for iOS to run Kivy applications.
• kivy-reloader — Hot reload your Kivy app on multiple Android phones and computer in real-time.
• kk-ontology-module — Ontology-based tool for cancer data analysis
• kmer-mapper — Kmer Mapper
• kmerdb — Yet another kmer library for Python
• kmerhash — Generate hash values from a sequence corresponding to kmers in the sequence
• koala2 — A python module to extract all the content of an Excel document and enable calculation without Excel
• koalified — For when truth is a little fuzzy.
• koffie — Lightweight and minimalist framework for python web app
• koleksyon — A collection of statistical functions and data manipulation functions and methods for use in data science projects
• konduit — konduit: Enterprise Runtime for Machine Learning Models
• konigcell — Quantitative, Fast Grid-Based Fields Calculations in 2D and 3D - Residence Time Distributions, Velocity Grids, Eulerian Cell Projections etc.
• krag — A Python package for RAG performance evaluation
• krkn-lib — Foundation library for Kraken
• kslhub — klshub - a datahub based on jupyterhub
• lab3 — Calcium Imaging and Behavior Analysis
• labugr — Laboratorio de señales UGR
• lampy — Python suite to access, manipulate and plot ALaDyn data
• lantoolkit — A python toolkit:fix
• larch-reactive — reactive programming for python
• lark-cython — A Lark plugin that optimizes LALR parsing using Cython