rickylk

tmux

tmux source code

docker-for-ml

Using Docker for Machine Learning Workflows

semantic-segmentation

Nvidia Semantic Segmentation monorepo

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

xview2_1st_place_solution

1st place solution for "xView2: Assess Building Damage" challenge.

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

SpaceNet7_Multi-Temporal_Solutions

HRNet-Object-Detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

solaris

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

open-solution-mapping-challenge

Open solution to the Mapping Challenge :earth_americas:

Poverty-Prediction-by-Satellite-Imagery

Poverty Prediction by Combination of Satellite Imagery

predicting-poverty-replication

A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty

pwc

This repository is no longer maintained.

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

generate-thai-lyrics

Generate Thai Songs' lyrics using Deep Learning

ml-engineer-roadmap

WIP: Roadmap to becoming a machine learning engineer in 2020

CosmiQ_SN7_Baseline

The SpaceNet 7 Baseline Algorithm

spacenet_building_detection

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

wpgpDownloadPy

A toolset for finding and downloading WorldPop (Global Project) products.

geospatial-machine-learning

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

awesome-satellite-imagery-competitions

List of machine learning competitions for satellite imagery and remote sensing.

WikipediaPovertyMapping

Implementation of Geolocated Articles Processing and Poverty Mapping - [KDD19]

techniques

Techniques for deep learning with satellite & aerial imagery

WSIS_BBTP

Implementation of NeurIPS 2019 paper "Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior"

arcgis-python-api

Documentation and samples for ArcGIS API for Python

urban_score

READ

Pytorch Implementation of Lightweight and robust representation of economic scales from satellite imagery.

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼