Real-time Object Detection and Neural Network Training Visualization
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Updated
Jun 25, 2024 - Python
Real-time Object Detection and Neural Network Training Visualization
This is the source code for the animations in the series "Visualizing Deep Learning"
A Keras Model Visualizer
NN Forge: Design neural networks visually with our intuitive GUI, then generate clean Python code to jumpstart your deep learning projects.
We will visualize the style transfer output produced by monet_generator_model. We take 5 sample images that are photos of beautiful landscapes in the original dataset and feed them to the model.
Collection of Jupyter Notebooks on neural networks using PyTorch and Stochaster involving detailed mathematics.
Visualising your neat algorithm networks with the manim library. Works specifically for the neat-python library
📊 A user interface to edit and design neural networks made with React.js and TypeScript.
A python program to visualize simple neural networks
Automatic neural network visualizations generated in your browser!
This repository consists the code for the paper titled Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
Self Driving Car Simulation
The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective (CVPR'22).
https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
An Interactive web-app that allows people to train live Neural-Network with Custom Inputs and Live feedback.
NNV - Neural Network Visualizer
A set of APIs for 3D Visualization of Neural Networks (NN) in Python using the Panda3D game engine. The NN can be modeled using TensorFlow or a custom built model.
Training and web visualization of digit recognition feedforward neural network using brain.js and three.js
A generic implementation of multi layer perceptron neural networks, including some visual tools. Contains example of using the neural network classes for function approximation.
A Neural Network Visualizer Web Application On The MNIST Dataset.
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