U-Net: Convolutional Networks for Biomedical Image Segmentation

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

This repository contains labs and tutorials on Convolutional Graph Networks (GCNs).

Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)

TensorFlow implementation of DispNet by Zhijian Jiang.

Make pytorch and tensorflow two become one.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

A simple graph neural network for CORA node classification

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Simple implementation of the LSUV initialization in PyTorch

یادگیری ماشین و شبکه عصبی برای یادگیری بازی آتاری

Paper Lists for Graph Neural Networks

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

ML implementations for me to look up

Modern deep convolutional neural networks implemented with PyTorch <3. ResNet, DenseNet and InceptionNet are trained on the CIFAR-10 dataset and the results are compared.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

JavaFx Application for Convolutional Network to perfom Image Classification using Softmax Output Layer, Back Propagation, Gradient Descent, Partial Derivatives, Matrix Flattening, Matrix Unfolding, Concurrent Task, Performance Histogram, Confusion Matrix

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available