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awesome-graph-explainability-papers

Papers about explainability of GNNs

binary-genetic-algorithm-

This is a Python module for Binary Genetic Algorithm built on top of Numpy and distributed under the MIT license.

chexnet-implementation-in-keras

This is a reimplementation of CheXNet using Python3 and Keras. CheXNet, is a 121-layer convolutional neural network that inputs a chest X-ray image and outputs the probability of pneumonia along with a heatmap localizing the areas of the image most indicative of pneumonia.

clean-label-poisoning-attacks

edgedetection

Image Edge Detection based on FPGA

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

huffman-tree

iot_first-project

machine-learning-course

make_neural_net

Make a neural net with one hidden layer

msadegh97.github.io

mymanualplots

This repository contains a collection of Python functions that I use to create specific plots using matplotlib and numpy package.

probing-graph-representation

the code will be available soon

pytorch_sadegh

qadam

receive-analysis-and-demonstration-system-of-analog-signals-based-on-fft

designing a receive, analysis and demonstration system of analog signals based on FFT

science4cast-sanatiesfinest

simple-auto-encoder

An implementation of a autoencoder using keras

smart-camera

A system using object detection and object tracker to control camera

text2image

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ud120-projects

Starter project code for students taking Udacity ud120