Visualizer for neural network, deep learning and machine learning models
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Updated
Jul 16, 2024 - JavaScript
Keras is an open source, cross platform, and user friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML.
Visualizer for neural network, deep learning and machine learning models
Run Keras models in the browser, with GPU support using WebGL
😺 Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
Source code of Indian Paper Currency Classification 🔥
Python library to easily log experiments and parallelize hyperparameter search for neural networks
An adblocker for live radio streams and podcasts. Machine learning meets Shazam.
Text based assistant powered by Machine Learning and NLP
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Web based facial Authentication system with flask server
Designing dialogue systems: A mean, grumpy, sarcastic chatbot in the browser
Recognize Digits using Deep Neural Networks in Google Chrome live!
Face classifier for "Momoiro Clozer Z" member using Tensorflow/Keras
🔨TensorSpace Standard Preprocess Tool for Pre-trained Models from TensorFlow, Keras, TensorFlow.js
Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:
✍️Handwriting Analysis using Graphology & Machine Learning
This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tenso…
Train your Fashion MNIST model with FfDL on Kubernetes with GPU
🔢 Computer will recognize the digits you wrote on a beautiful web-interface
glasses try-on system by finding the best shape of glasses based for your face shape using K-means and CNN algorithms
Created by François Chollet
Released March 27, 2015