There are 3 repositories under neural-network-visualizations topic.
This is the source code for the animations in the series "Visualizing Deep Learning"
Automatic neural network visualizations generated in your browser!
The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective (CVPR'22).
A Keras Model Visualizer
https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
📊 A user interface to edit and design neural networks made with React.js and TypeScript.
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.
Self Driving Car Simulation
Part of the experiments in "A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations"
Visualising your neat algorithm networks with the manim library. Works specifically for the neat-python library
A Neural Network Visualizer Web Application On The MNIST Dataset.
A collection of Latex (tikz) code to Visualize Neural Network
This repository consists the code for the paper titled Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
A web app made using Flask and Streamlit to visualise the workings of a Neural Network
Easy neural network visualizer control for .Net
An Interactive web-app that allows people to train live Neural-Network with Custom Inputs and Live feedback.
A generic implementation of multi layer perceptron neural networks, including some visual tools. Contains example of using the neural network classes for function approximation.
An impementation of CNN Fixations for PyTorch.
Training and web visualization of digit recognition feedforward neural network using brain.js and three.js
Real-time Object Detection and Neural Network Training Visualization
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.
MNIST code with different classifier using sklearn and tflearn library in Python
Collection of Jupyter Notebooks on neural networks using PyTorch and Stochaster involving detailed mathematics.
Things that I use while building the models
A python program to visualize simple neural networks
NN Forge: Design neural networks visually with our intuitive GUI, then generate clean Python code to jumpstart your deep learning projects.