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advml-fall-18

A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-remote-sensing-change-detection

List of datasets, codes, researchers, and contests related to remote sensing change detection

bgslibrary

A background subtraction library

caffe-tools

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

cafferemotesensing

changedetection

Change detection program including IRMAD, MM, MRF etc. python

changedetectionrepository

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

cityscapesscripts

README and scripts for the Cityscapes Dataset

cortex

A horizontally scalable, highly available, multi-tenant, long term Prometheus.

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

dat3

General Assembly's Data Science course in Washington, DC

deeplab-v2--resnet-101--tensorflow

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

dl_tutorial

Introduction to CNNs

drit

Learning diverse image-to-image translation from unpaired data

drit-tensorflow

Simple Tensorflow implementation of Diverse Image-to-Image Translation via Disentangled Representations (ECCV 2018 Oral)

fcn-pytorch

🚘 Easiest implementation of fully convolutional networks

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fsd

Fire and smoke detection collaboration repository

grnn_python

Generalized Regression Neural Network for regression

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

hyperspectral

hyperspectral img processing/fusion etc

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models and examples built with TensorFlow

neural-style-transfer

Keras implementation

open-solution-mapping-challenge

Open solution to the Mapping Challenge :earth_americas:

oucml