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- jyonn/once
Jyonn/ONCE
All the recommendation experiments are conducted under our content based recommendation repository Legommenders. It involves a set of news recommenders and click-through rate prediction models. It is a modular-design framework, supporting the integration with pretrained language models (PLMs)…
Domain Specific ModelsFine-Tuned Recommendation Models - dradis/burp-dradis
dradis/burp-dradis
This extension allows users to send issues from Burp's Scanner directly into their Dradis project using the HTTP API.
Burp Suite Extensions - bsdkurt/aws-node-custom-user-pool
bsdkurt/aws-node-custom-user-pool
title: AWS Serverless Cognito Custom User Pool example in NodeJS description: This example demonstrates how to create an AWS Cognito custom user pool. layout: Doc -->
Security and Compliance - iparesh18/learn-langchain
iparesh18/Learn-LangChain
End-to-end LangChain JS learning repo with real examples: prompts, tools, RAG, agents, and LangGraph workflows.
Tutorials and Notebooks - imbypass/omarchy-hook-theme-set-ex
imbypass/omarchy-hook-theme-set-ex
A lightweight, clean solution to extending your Omarchy theme to other apps.
Themes - octaprog7/bmp390
octaprog7/BMP390
Micropython module for BMP390 pressure&temperature sensor.
Sensor Drivers
