Topic: trained Goto Github
Some thing interesting about trained
Some thing interesting about trained
trained,MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy
User: 345ishaan
trained,EurekaQA is a Question & Answering Model that has been trained by Kaludi to analyze text data and automatically answer questions based on the information contained within.
User: kaludii
Home Page: https://huggingface.co/spaces/Kaludi/EurekaQA
trained,A tool that analyzes the overall sentiment of customer reviews for a specific product or service, whether it's positive or negative.
User: kaludii
Home Page: https://huggingface.co/spaces/Kaludi/Reviews-Sentiment-Analysis_App
trained,Created for this model trained by Gustavosta for Stable Diffusion to create a prompt from a few words. You can submit your own text or select from provided examples.
User: kaludii
Home Page: https://huggingface.co/spaces/Kaludi/Stable-Diffusion-Prompt-Generator_App
trained,Largest Trained Dataset for SupplyChain
User: xtrail-ai
Home Page: https://huggingface.co/harisss/xtrailaiscm/tree/main
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
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Open source projects and samples from Microsoft.
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