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).
https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
A Keras Model Visualizer
A web app made using Flask and Streamlit to visualise the workings of a Neural Network
NNV - Neural Network Visualizer
A generic implementation of multi layer perceptron neural networks, including some visual tools. Contains example of using the neural network classes for function approximation.
This repository consists the code for the paper titled Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
Visualising your neat algorithm networks with the manim library. Works specifically for the neat-python library
Things that I use while building the models
An impementation of CNN Fixations for PyTorch.
Real-time Object Detection and Neural Network Training Visualization
A python program to visualize simple neural networks
Part of the experiments in "A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations"
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.
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