Xception model predict dog breeds from dog picture , flask web site
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Updated
Apr 27, 2024 - JavaScript
Xception model predict dog breeds from dog picture , flask web site
Make your own "Teachable Machine" using transfer learning with MobileNet v3 in TensorFlow.js & a saved graph model from TFHub.
Gutenberg block to classify image using Transfer Learning and allowing and disallowing upload images
Utilizing Hugging Face's RoBERTa transformer, this model performs sentiment analysis on text inputs. By tokenizing the text using NLP techniques, it distinguishes between positive, negative, and neutral sentiments within the sentence.
A web-based solution utilizing a robust tensorflow model for precise traffic condition classification made in ReactJs and FastAPI for backend.
Limited Keyword Speech Recognition using Transfer Learning
CGI Detection using Deep Convolutional Neural Networks
Retrain the MobileNet model via transfer learning using TensorFlow.js in NodeJS.
YC Hackathon 2018 Winner Project. BEN: A decentralized chatbot that uses federated learning.
Play MK.js with TensorFlow.js
Deep learning project based on the Inception v2 model. Recognises 21 different classes based on images
An interactive web app for exploring transfer learning for sentiment analysis
Image classifier on the browser using MobileNet pretrained model
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
a web application to annotate and visualise single-cell sequencing data using neural networks
Image Classification with Tensorflow using Transfer Learning
This is a very simple application and model to classify the number of fingers displayed with one hand. The model was callibrated using the mobilnet as input and then trained using a simple 2 layers neural network (with very few samples)
MobileNet V2 Transfer Learning with TensorFlow.js
Created a webcam stream using react app. Transfer learning is used to import facemesh which is a pre-trained deep learning library to detect the face from tensorflow.js and by using javascript canvas drew all the keypoints and triangles on the app.
AI-powered inspirational quote generator
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