Reverse Dependencies of strictyaml

The following projects have a declared dependency on strictyaml:

• a-sample-classification-model — sample Classification model package.
• acme-dns-azure — ACME client setup based on Certbot for dns-01 challenges via Azure Cloud services
• admission-prediction-model — A sample model to predict your chances of admission in graduate universities
• aimlops-sentiment-model — Sentiment Model for assessing sentiment. It is a classification model package
• ait-learners — Webinterface for accessing CR exercises.
• aithamza-regression-model — Example regression model package from Train In Data.
• alfasim-sdk — ALFAsim API/SDK
• ames-model — Trained regression model for the ames dataset
• analitica-escalable-pec-2 — Example model package.
• analitica-test — Example model package.
• arnold-house-price-regression-model — Example regression model package by Arnold Ighiwiyisi
• attendance-model — An end to end machine learning app to predict canteens attendance 2-3 weeks ahead in Nantes Metropole
• autoiperf3 — Jump to a remote server, start up iperf3, and collect connection data
• azure-ai-ml — Microsoft Azure Machine Learning Client Library for Python
• basic-lstm-model — Example lstm model package from lstm_deploy_ApiRest.
• basis-core — Functional Data Pipelines
• bhousing-model — Boston Housing model package.
• bike-rental-package — IISc Projects
• bikeshare-model — Bikeshare dataset regression model package
• book-recommender — Example recommender system for books.
• Cad-usd-forecast-model — Model for forecasting CAD-USD exchange price.
• caf.base — Package Description
• caf.toolkit — A toolkit of transport planning and appraisal functionalities
• camzis-classification-model — Example classification model package from Titanic dataset.
• car-price-regression-model — regression model package from Train In Data.
• choppera — Chopper inverse velocity transport
• classification-model — Classification model for animal activity recognition based on XGBoost
• classification-model-titanic-david-anthony — Classification model package from Train In Data.
• ClassificationModelMSDMB — Example regression model package from Train In Data.
• classmodeltitanicdavidanthony — Classification model package from Train In Data.
• Client-API-VN — Python API to Biolovision API and applications using it
• climate-categories — Commonly used codes, categories, terminologies, and nomenclatures used in climate policy analysis as a Python package.
• cmsrucio-import — Utility tool to upload files and datasets from local machine to rucio
• CodeChat-Server — The CodeChat Server for software documentation
• concrete-strength-prediction — Concrete Strength
• contract-nli — Text Classifier to access compliance
• covpipe — Sars-Cov-2 NGS Pipline for generating consensus sequences
• credit-scoring-model — Credit scoring model package.
• creditcard-customers-churn-gbm-model — Example Credit Card Customer Churn dataset Gradient Boosting model package from Train In Data.
• customer-churn-classification-model — classification model package from Train In Data.
• Customer-churn-model — Logistic regression model to predict customer churn.
• dccc-scoring-model — Example machine learning package from Curtis Lu. Modified from the udemy course: deploying machine learning models
• devpi-server — devpi-server: reliable private and pypi.org caching server
• dewmoth — Dewmoth - Doxygen Support for Hawkmoth
• drain-swamp — Python build backend with build plugins and dependency lock switch
• end-to-end-ML-project — End to End ML Project
• ev3dev2simulator — EV3 simulator for the ev3dev2 library
• fftid-regression-model — Example regression model package from Train In Data.
• fitconnect — no summary
• flexfs — Python tools for querying Flexible File Structure
• fluf — Simple caching & workflow
• gftools — Google Fonts Tools is a set of command-line tools for testing font projects
• hawkmoth — Hawkmoth - Sphinx Autodoc for C
• heart-disease-classification-model — Classifying whether the patient will survive
• heart-dissease-classifier-dgcr — E2E classifier for heart disease.
• heart-model — Heart decease model package.
• heartdisease-model — Heart disease model package.
• hitchdb — StrictYAML database fixtures with tbls.
• hitchpage — Page config model library.
• hitchprojectsync — Sync project up to a base project.
• hitchstory — Type-safe YAML-based example specification driven development framework for python.
• hotelAlpha-housePricePrediction — Example regression model package from Train In Data.
• houbrahim-regression-model — Example regression model package from Train In Data.
• house-price-prediction-regression-model — Example regression model package from Train In Data.
• house-sales — House Sales
• Imane-regression-model — Example regression model package from Train In Data.
• insurance — A package that calculates insurance cost from a set of features: age, sex, body mass index, number of children, whether the person smokes or not, and the region in the US.
• iris-hector-patino — IRIS MODEL ROTE
• jgbpacking — PACKAGE MODELO CLASIFICACION WINE
• jgbpackinx — PACKAGE MODELO CLASIFICACION WINE
• kh-regression-model — End-to-End house price prediction regression models
• labManager-common — System for managing multi-station multi-tenant lab setups - common utilities.
• lasso-regression-model — Lasso Regression model package
• LbAPCommon — Common utilities used by LHCb DPA WP2 related software
• lcd-classification-model — Example classification model package by Neidu.
• ldh-middleware — A middleware application (with a user-facing web interface) for managing subscription-based accounts on a Liberty Deckplan Host (LDH).
• ldh-operator — Whipstaff is a command-line tool for operating one or more Liberty Deckplan Hosts (LDHs) from your local session. The reference implementation for an LDH operator toolkit.
• libflavour — no summary
• liganmsdregmodel — Example regression model package from Train In Data.
• logging-strict — logging.config yaml strict typing and editable
• manrodri-test-titanic-classification-model — Example Titanic dataset classification model package from Train In Data.
• mba — Market Basket Analysis.
• mdxcanvas — A Canvas LMS API wrapper for maintaining content in markdown
• mettmail — Fetch mails from IMAP servers and deliver them to a local user
• ml-deploy — Package to deploy ml model
• mlops-tid-regression-model — Example regression model package from Train In Data.
• model-regresi-harga-rumah — Model regresi untuk prediksi rumah
• model-regresi-platinum — Model regresi untuk prediksi rumah
• modelo-4 — Example model package.
• montemplate — Python project generator.
• msd-model-regression-ligan — Example regression model package from Train In Data.
• Msd-regression-models — Example regression model package from Train In Data.
• nba-betting-model — Classification Model to predict whether the underdog team will improve its score in Q4
• nimbuscli — Nimbus is engineered to optimize data backup processes and efficiently orchestrate service deployments.
• NLI-lr-model — Example regression model package for Natural Language Inference trained on SNLI data set
• OfficialEye — AI-powered generic document-analysis tool
• page-config-model — Page config model library.
• pager-cli — pagerduty cli to list/ack/resolve incidents
• PEC2 — Example model package.
• pec2-app — model package.