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Search: framework-generate
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Showing 10 results from 544
ConardLi/openai-nodejs-demo
GitHub JavaScriptA project that uses koa framework and openai library to generate images automatically.
External source
GitHub
devitocodes/opesci-fd
GitHub Jupyter Notebook OtherA framework for automatically generating finite difference models from a high-level description of the model equations.
External source
GitHub
swiftyaf/MazeAlgorithms
GitHub Swift The UnlicenseA Swift framework for generating perfect mazes using classic algorithms.
External source
GitHub
0xMukesh/tailwindcsscli
GitHub JavaScript MIT LicenseA CLI for generating starter files for different JS frameworks with tailwindCSS pre-installed
External source
GitHub
marcgibbons/drf_signed_auth
GitHub Python BSD 2-Clause "Simplified" LicenseSigned URL authentication for Django REST Framework to generate temporary URLs
External source
GitHub
f-izzat/AeroelasticAirfoil-SU2
GitHub Python MIT LicenseA simple framework that automatically generates SU2 configuration (.cfg) files and make calls to SU2 to perform aeroelastic simulations all within Python. The Matrix Pencil method is then used to compute the damping coefficient.
External source
GitHub
talkops-ai/aws-orchestrator-agent
GitHub Python Apache License 2.0Stop writing Terraform by hand. A multi-agent framework that researches, generates, validates, and commits production-ready AWS infrastructure modules through conversation.
External source
GitHub
martian56/trixo
GitHub TypeScript ISC LicenseGenerate professional project structures for multiple languages and frameworks with a single command.
External source
GitHub
mostafaamiri/SearchInstruct
GitHub Python MIT LicenseSearchInstruct is a powerful tool for generating instruction datasets by leveraging seed instructions and generating similar variations. This repository provides a framework for creating diversified instruction datasets that can be used in various natural language processing (NLP) applications.
External source
GitHub
raphael-group/mascote
GitHub Python OtherMASCoTE (Multiple Allele-specific Simulation of Copy-number Tumor Evolution) is a simulation framework to generate sequencing reads with appropriately corrections for the differences in genome lengths between the normal and tumor clone(s) present in multiple mixed samples.
External source
GitHub
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