The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective (CVPR'22).
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Updated
May 5, 2022 - Python
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
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.
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 web app made using Flask and Streamlit to visualise the workings of a Neural Network
This repository consists the code for the paper titled Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
An impementation of CNN Fixations for PyTorch.
A generic implementation of multi layer perceptron neural networks, including some visual tools. Contains example of using the neural network classes for function approximation.
Real-time Object Detection and Neural Network Training Visualization
Things that I use while building the models
A python program to visualize simple neural networks
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