Reverse Dependencies of scipy

The following projects have a declared dependency on scipy:

• audioio — Platform independent interfacing of numpy arrays of floats with audio files and devices for scientific data analysis.
• audioldm — This package is written for text-to-audio generation.
• audioldm-eval — This package is written for the evaluation of audio generation model.
• audioldm2 — This package is written for text-to-audio/music generation.
• audiomate — Audiomate is a library for working with audio datasets.
• audiomentations — A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
• audiometry-trainer — Clinical audiometry simulator
• audiomodels — audio models package with semantic features identification
• audiopython — A package with functionality for offline audio processing
• audiosample — AudioSample is an optimized numpy-like audio manipulation library, created for researchers, used by developers.
• audiosegment — Wrapper for pydub.AudioSegment for additional methods.
• audiosr — This package is written for text-to-audio/music generation.
• audiossl — no summary
• audiotoolbox — Toolbox for generating and working with audio signals
• AudioTranscript — Audio file transcription
• audioviz — An user-friendly music information retrieval tools interfacing with Google Colab
• audit-AI — audit-AI detects demographic differences in the output of machine learning models or other assessments
• audlib — A speech signal processing library with emphasis on deep learning.
• audp — Analog Unicast Data Protocol (AUDP)
• aug — Augmentation library based on OpenCV.
• auger.ai.predict — Auger ML predict python and command line interface
• auglib — Audio augmentations
• augly — A data augmentations library for audio, image, text, & video.
• augment-nd — Simple elastic augmentation for ND arrays.
• augmentations — Roboflow Augmentations PIP Package
• augmented-pca — Python implementations of supervised and adversarial linear factor models.
• augmentify — none
• augmentRNA — Lightweight package that allows for the generation of augmented RNA-seq data from a base dataset, for expanding training datasets or large-scale dataset analysis.
• augmolino — augmentation for audio based datasets for machine learning
• Augraphy — Augmentation pipeline for rendering synthetic paper printing and scanning processes
• aukit — audio toolkit
• aunnl — Another Unnecessary Neural Network Library
• auquan-coursera-toolbox — Toolbox as a supplement to Google's course on Coursera
• auquan-eic1-toolbox — Toolbox for QQ14
• auquan-qq1-toolbox — Toolbox for QQ3
• auquan-qq14-toolbox — Toolbox for QQ14
• auquan-toolbox — Auquan Toolbox for developing strategies and backtesting
• auquan-toolbox-beta — Auquan Toolbox for developing strategies and backtesting
• aural-features — MERIDIAN Python package for computing a set of perceptual acoustic features chacterizing a sound as it is perceived by the human brain
• auraloss — Collection of audio-focused loss functions in PyTorch.
• auron — no summary
• aurora-asi-lib — An open source package providing data access and analysis tools for the world's all-sky imager (ASI) data.
• auroris — Data Curation in Polaris
• aus-python — A package with functionality for offline audio processing
• AuSeSol-isg — Package to process, train and evaluate time series related data in solar energy field
• auspex — Scientific measurement platform specifically geared towards superconducting qubit measurements.
• austere3d — Create your own AUtoSTEREograms
• author-rank — no summary
• auto-aiml — Creates a best predictive regression/classification model
• auto-dl — test
• auto-feature-extraction — "Automatic Feature Extraction in Images and Texts using Transfer Learning"
• auto-learn-gpt — autoML for training and inference Deep Learning model
• auto_ml — Automated machine learning for production and analytics
• auto-paired-test — An automatic paired test
• auto-pi-lot — Distributed behavioral experiments
• auto-qchem — auto-qchem
• Auto-Sklong — A package for automated machine learning based on scikit-learn and sklong to tackle the longitudinal machine learning classificationt tasks.
• auto-smooth — Apply auto smoothing to a time series data.
• auto-surprise — A python package that automates algorithm selection and hyperparameter tuning for the recommender system library Surprise
• auto-tune — Estimate hyper-parameter search using evolutionary algorithms
• auto-vtna — A Python package for efficient and automatic VTNA analysis
• Auto4DSTEM — Incorporating Developed Cycle-Consistent-Spatial-Transforming Autoencoder for 4-D STEM analysis.
• autoads-test — Easy to use Ads library
• autoanno — Investigation into using AutoML and Topological Data Analysis for Automated Annotation
• autoarray — PyAuto Data Structures
• autoawq — AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference.
• autoballs — Python package for segmentation of axons and morphological analysis.
• autobiasdetector — tools for detecting bias patterns of LLMs
• autoBinning — A small package for feature autoBinning
• AutoBrewML — With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
• AutoCarver — Automatic Discretization of Features with Optimal Target Association
• autochord — Automatic Chord Recognition library
• AutoClassifier — Automatic Image classification
• autoclasswrapper — AutoClassWrapper: a Python wrapper for AutoClass C classification.
• autocluster — Automated machine learning toolkit for performing clustering tasks.
• autocolorize — Automatic colorizaton of grayscale images using Deep Learning.
• autocp2k — This is a python module for automating CP2K calculations.
• AutoDataPre — The package of Auto-DP ( Automated System for Data Preparation).
• AutoDataPreprocess — A high-level library for automatic preprocessing of tabular data
• autodidaqt — AutodiDAQt is a simple data acquisition framework. For science.
• autodidaqt-receiver — Analyis-side bridge for autodiDAQt.
• autodiff-djw — Automatic differentiation package AC207
• autodiffing — A package for Automatic Differentiation
• autodl-gpu — Automatic Deep Learning, towards fully automated multi-label classification for image, video, text, speech, tabular data.
• autodmri — Implementation of "Automated characterization of noise distributions in diffusion MRI data".
• autodyna — A collection of LS-DYNA card writing tools
• autoeap — Automated version of Extended Aperture Photometry developed for high amplitude K2 variable stars.
• autoeft — Automated operator construction for effective field theories.
• autoemulate — An emulator platform for Digital Twins
• autoeq — Automatic headphone equalizer config generator
• autoevals — Universal library for evaluating AI models
• autofeat — Automatic Feature Engineering and Selection Linear Prediction Model
• AutoFeedback — check basic python exercises with pretty feedback
• autofit — Classy Probabilistic Programming
• autofracture — Support the intelligent fracturing process.
• autogamess — This is a python module for automating Raman calculations using GAMESS(us).
• Autogasuptake — ::A tool to automatically treat the data and plot the gas uptake curve::
• AutoGator — A software package for camera-assisted motion control of PIC chip interrogation platforms.
• autogenes — Automatic Gene Selection for Bulk Deconvolution
• autogl — AutoML tools for graph-structure dataset