sankrutyayan

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

ffhq-dataset

Flickr-Faces-HQ Dataset (FFHQ)

pytorch-fid

Compute FID scores with PyTorch.

improved-gan

Code for the paper "Improved Techniques for Training GANs"

TTUR

Two time-scale update rule for training GANs

MegaDepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

inception-score-pytorch

Inception Score for GANs in Pytorch

InceptionTime

InceptionTime: Finding AlexNet for Time Series Classification

geospatial-machine-learning

A curated list of resources focused on Machine Learning in Geospatial Data Science.

python_for_image_processing_APEER

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

GAN-Metrics

An empirical study on evaluation metrics of generative adversarial networks.

deep-unet-for-satellite-image-segmentation

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

generative-evaluation-prdc

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

COP-Kmeans

A Python implementation of COP-KMEANS algorithm

EarthMapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

fsfc

Feature Selection for Clustering

Inception-Score

CPU/GPU/TPU implementation of the Inception Score

Frechet-Inception-Distance

CPU/GPU/TPU implementation of the Fréchet Inception Distance

RIT-18

High-Resolution Multispectral Dataset for Semantic Segmentation

Inception-Score

Inception score for measuring quality of images generating from GAN

Hyperspectral-Image-Segmentation

Semantic Segmentation of HyperSpectral Images using a U-Net with Depthwise Separable Convolutions

Multivariate-time-series-prediction

Multivariate time series prediction using LSTM in keras

Deep-Satellite-Image-Segmentation

Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)

unet_sem_seg

Semantic segmentation of satellite imagery using U-nets (U-nets: https://arxiv.org/abs/1505.04597)

EasyMMD

Compute Maximum Mean Discrepancy in R

ConstrainedKMeans

Constrained KMeans algorithm.

HIGH-DIMENSIONAL-DATA-CLUSTERING

Implementation of hierarchical clustering on small n-sample dataset with very high dimension. Together with the visualization results implemented in R and python

semi-supervised-clustering-by-seeding

Implementation of a Semi-supervised clustering algorithm described in the paper Semi-Supervised Clustering by Seeding, Basu, Sugato; Banerjee, Arindam and Mooney, Raymond; ICML 2002

Hyper-spectral-Image-Segmentation