geogubd

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Bigscity-LibCity

LibCity: An Open Library for Traffic Prediction

ckeditor4

The best enterprise-grade WYSIWYG editor. Fully customizable with countless features and plugins.

configaformers

A python library for highly configurable transformers - easing model architecture search and experimentation.

cryptomator

Multi-platform transparent client-side encryption of your files in the cloud

Deep-Learning-with-PyTorch-book

PyTorch深度学习开源电子书

deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

Discovery-asf_search

Firestorm

Firestorm is a Remote Shuffle Service, and provides the capability for Apache Spark applications to store shuffle data on remote servers

flatmap

Fast and flexible tool to build vector tiles from OpenStreetMap data

FOST

FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.

franklin

A STAC/OGC API Features Web Service

gitfs

Version controlled file system

glum

High performance Python GLMs with all the features!

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

lite.ai.toolkit

Lite.AI.ToolKit 🚀🚀🌟: A lite C++ toolkit of awesome AI models(一个开箱即用的C++ AI工具箱，支持ONNXRuntime/NCNN/MNN/TNN), such as RobustVideoMatting🔥, YOLOX🔥, YOLOP🔥 etc. (https://github.com/DefTruth/lite.ai.toolkit/releases/tag/v0.1.0)

LoveDA

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

ludwig

Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

nogil

Multithreaded Python without the GIL

PnC

Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952

point-cloud-segmentation

pytorch_eo

PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.

rayrender

A pathtracer for R. Build and render complex scenes directly from R, with no external dependencies.

sits

Satellite image time series in R

solar-pv-global-inventory

Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvoltaic generating stations.

til

:memo: Today I Learned

vagrant-kubernetes-cluster

Vagrant一键安装Kubernetes集群。安装 Metrics Server 、Kuboard 、Kubernetes Dashboard、KubePi、Kubernetes集群监控prometheus-operator

xarray

N-D labeled arrays and datasets in Python

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

xmovie

A simple way of creating movies from xarray objects