Reverse Dependencies of backcall

The following projects have a declared dependency on backcall:

• abayestest — no summary
• abracadabra — Making hypothesis and AB testing magically simple!
• ai-economist — Foundation: An Economics Simulation Framework
• ai-python — Microsoft AI Python Package
• argueview — ArgueView is a tool for generating text-based presentations for machine-learning predictions and feature-importance based explanation tools. The tool makes use of Toulmin's model of argumentation for structuring the text-based explanations.
• asn-nmap — Get status service from a ASN.
• aurorae — A Python implementation of the CNAB240 file to perform bulk payments.
• azpype — A native Python interface wrapping AzCopy for bulk data transfer to and from Azure Blob Storage.
• azure-arm-nb-extensions — Jupyter notebook extensions for azure arm.
• bgameb — Board Game Builder
• box-oauth — Box headless OAuth2 client
• ChemScraper — Scraping chemical vendors for pricing/availability info.
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• Chronix2Grid — A python package to generate "en-masse" chronics for loads and productions (thermal, renewable)
• CIxTools — Cheminformatics Tools
• cloud-io — Handle I/O from cloud buckets
• cloudsecpy — Library and toolkit for formally analyzing security policies in cloud systems using Python.
• colorizexl — Colorize and recolorize large images
• combnetdep — Dependencies for Combnet.
• coref — Functional, Namespace-based application CORE
• corradin-opioid-project — no summary
• cpquant — A python package developed by the Cal Poly Quantitative Finance Club for dealing with financial data (California Polytechnic State University San Luis Obispo)
• custom-bgr — Customized background removal app
• dexteritysdk — Client for Dexterity - a modular derivatives decentralized exchange reference implementation
• dftimewolf — Digital forensic orchestration.
• dlg-home-content — model to identify tv sizes using images
• dreem — DREEM solves RNA structure ensembles using chemical probing data
• drop-backend — API and Command line tools for building drop
• dropbox-csp — Dropbox wrapper client to upload data files to a folder
• dsConteXAI — Contextualizing model's decisions with natural language explanations.
• dug-test — Dug is a semantic searching and indexing software.
• dwl — Stupid command to download YouTube's `watch later` videos.
• eagle-kaist — Stock Extractor library
• emzed-spyder — emzed IDE, see also https://emzed.ethz.ch
• enablr-dashboard — Populate data from excel in gdrive enablr
• enformer-dna-diff — This is a package for that combines DeepMind Enformer model with DNA Diffusion project
• EtaML — An automated machine learning platform with a focus on explainability
• face-recognition-and-drowsiness-detection — Python Boilerplate contains all the boilerplate you need to create a Python package.
• fantasy-analysis — Library for doing analysis on a fantasy basketball league
• feudalAdapter — Adapter to connect provisioning events with a backend
• Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
• galaxysled — A code to reproduce and fit a galaxy CO SLED
• gdp-time-series — no summary
• GeoFuns — A package for geo tools used to map card score
• get-test-cases-from-TFS — this Lib is to get the TFS testPlan data, and communicate with TFS API to get the test cases from TFS. Then extract the Testcases as XML file.
• GPErks — A Python library to (bene)fit Gaussian Process Emulators.
• gpipe — GridPipe
• gpt-readme-reader — A utility to extract setup commands from a GitHub repository
• graphqler — A cutting edge context aware GraphQL API fuzzing tool!
• grater-expectations — A grated application of Great Expectations to create greater Expectations
• grmrcnn — This is for object detection model by combining Gradcam++ with MaskRCNN
• hammadml-gpu — Hammad Python ~ Machine Learning
• hbac-bias-detection — no summary
• image-crawl — Crawl and transform images
• image-processing-package-gleyson-atanazio — Módulo para processamento e comparação de imagens.
• impresso-commons — Python module highly reusable within impresso.
• intrinsic-dimensionality — Dense and fastfood transform wrappers to reproduce "Intrinsic dimensionality of objective landscapes" by Li et al. (2018)
• iTheraPY — Environment for iThera Python tools
• ivystar — python tools package of ivystar
• jdu — JingDong Union SDK
• jrvc — Libraries for RVC inference
• junctionart — Procedural HD Map and Intersection Generator
• keywords-en — keywords extract
• kytos — Kytos, an open source SDN Platform
• LensMotionMania — Dip package for images and videos
• libmv — a library to create music videos
• libvisualwebarena — This is an unofficial, use-at-your-own risks port of the visualwebarena benchmark, for use as a standalone library package.
• lintML — A security-first linter for machine learning training code.
• lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• lp-Aicloud — this a aicloud
• luis1996 — my description
• luisito1996 — my description
• luisito19963 — my description
• m4-utils — Biblioteca com funções de uso comum em projetos de aprendizado de máquina e ciencia de dados.
• majora — Majora is a python library that automates common tasks in your exploratory data analysis.
• mango-explorer-v4 — no summary
• mapyllary — Unofficial Mapillary API
• Marketingtool — A tool module to help you do marketing
• mbtask — Mindbox test task
• mdml — Application of Deep learning on molecular dymanamics trajectories
• mdparse — Parsing markdown files for deep learning.
• metro-sp-mdp — no summary
• mi-property-analyser — First package evs
• ML-Navigator — ML-Navigator is a tutorial-based Machine Learning framework. The main component of ML-Navigator is the flow. A flow is a collection of compact methods/functions that can be stuck together with guidance texts.
• modulename — this is a description
• mozi-ai — 墨子AI:军事人工智能领航者, developed by HSFW
• mzrewards — Mzaalo Rewards Utility functionalities
• nba-analytics — A package for collecting and analyzing NBA player data.
• NehorayRapid — Rapid base tools package
• NehorayRapid1 — Rapid base tools package
• neurocat — Interface Design for Neurocat's Research Engineer Test
• new2 — Optimizing the payment process of e-commerce
• nomad-camels — CAMELS is a configurable measurement software, targeted towards the requirements of experimental solid-state physics.
• notion-apilib — This library allows developers to call Notion API using custom DSL Pydantic-validated classes and API methods
• ntdgotv-langtools — # ntdGoTV_langtools
• oae — Optimal Action Extraction for Random Forests and Boosted Trees
• ohmt — Train decision trees, both univariate and multivariate.
• omdenalore — AI for Good library
• open-api-tcbs — Library connect Open-API of TCBS