280 Open source projects that are alternatives of or similar to WhiteBox-Part1

Fit interpretable models. Explain blackbox machine learning.

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

Deep Learning From Scratch

Pytorch implementation of convolutional neural network visualization techniques

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

Six snippets of code that made deep learning what it is today.

Generative Adversarial Networks in TensorFlow 2.0

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

No description or website provided.

Interactive log viewer for flight logs recorded with blackbox

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Useful extensions for UIViews and CALayer classes to add beautiful color gradients.

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

A landing page made with tailwindcss and the new Gradient feature.

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

This code is part of my post on Medium.

Train DenseNet on Cifar-10 based on Keras

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A repository for explaining feature attributions and feature interactions in deep neural networks.

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

Fast approximate Shapley values in R

Learning about Haskell with Variational Autoencoders

An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

Extreme Learning Machine implemented in Pytorch

SmoothGrad implementation in PyTorch

DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.

A curated collection of beautiful premade gradients using default colors from the Tailwind palette as well as a selection of custom color gradients.

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

Simple neural network implementation in Rust

Predict CIFAR-10 labels with 88% accuracy using keras.

微信公众号数字识别

Dextop - Linux-based distribution workstation on Android

Adversarial Discriminative Domain Adaptation in Chainer

A minimal implementation of Wasserstein GAN

Papers about explainability of GNNs

CNN example for training your own datasets.

A simple multi-layer feed-forward neural network with backpropagation built in Swift.

(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining

Emerging Technologies Project - 4th Year 2017

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

Using deep learning to discover interpretable representations for mammogram classification and explanation

Selective Classification For Deep Neural Networks.

Using various CNN techniques on the MNIST dataset

A simple CSS Gradient Animator tool built with Vue and Vuex.

This is a Pytorch implementation of GraphLIME

一个简单的进度条控件

[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

🎨 Tricolor background patterns created using CSS linear and radial gradients.

No description or website provided.

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

The official code of Relevance-CAM

My workshop on machine learning using python language to implement different algorithms

A Flask web app for handwritten digit recognition using machine learning

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

🎨 Radient, random gradients in Swift