513 Repositories
Python cloud-computing Libraries
Detecting Blurred Ground-based Sky/Cloud Images
Detecting Blurred Ground-based Sky/Cloud Images With the spirit of reproducible research, this repository contains all the codes required to produce t
Official PyTorch implementation of PICCOLO: Point-Cloud Centric Omnidirectional Localization (ICCV 2021)
Official PyTorch implementation of PICCOLO: Point-Cloud Centric Omnidirectional Localization (ICCV 2021)
30 Days of google cloud leaderboard website
30 Days of Cloud Leaderboard This is a leaderboard for the students of Thapar, Patiala who are participating in the 2021 30 days of Google Cloud Platf
Deep Learning as a Cloud API Service.
Deep API Deep Learning as Cloud APIs. This project provides pre-trained deep learning models as a cloud API service. A web interface is available as w
CORS Bypass Proxy Cloud Function
CORS Bypass Proxy Cloud Function
sysctl/sysfs settings on a fly for Kubernetes Cluster. No restarts are required for clusters and nodes.
SysBindings Daemon Little toolkit for control the sysctl/sysfs bindings on Kubernetes Cluster on the fly and without unnecessary restarts of cluster o
Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators
Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators. Install
A Python framework for developing parallelized Computational Fluid Dynamics software to solve the hyperbolic 2D Euler equations on distributed, multi-block structured grids.
pyHype: Computational Fluid Dynamics in Python pyHype is a Python framework for developing parallelized Computational Fluid Dynamics software to solve
EasyBuild is a software build and installation framework that allows you to manage (scientific) software on High Performance Computing (HPC) systems in an efficient way.
EasyBuild is a software build and installation framework that allows you to manage (scientific) software on High Performance Computing (HPC) systems in an efficient way.
Wikipedia WordCloud App generate Wikipedia word cloud art created using python's streamlit, matplotlib, wikipedia and wordcloud packages
Wikipedia WordCloud App Wikipedia WordCloud App generate Wikipedia word cloud art created using python's streamlit, matplotlib, wikipedia and wordclou
A style-based Quantum Generative Adversarial Network
Style-qGAN A style based Quantum Generative Adversarial Network (style-qGAN) model for Monte Carlo event generation. Tutorial We have prepared a noteb
Open Data Cube analyses continental scale Earth Observation data through time
Open Data Cube Core Overview The Open Data Cube Core provides an integrated gridded data analysis environment for decades of analysis ready earth obse
Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021
PointWOLF: Point Cloud Augmentation with Weighted Local Transformations This repository is the implementation of PointWOLF(To appear). Sihyeon Kim1*,
Repo for EchoVPR: Echo State Networks for Visual Place Recognition
EchoVPR Repo for EchoVPR: Echo State Networks for Visual Place Recognition Currently under development Dirs: data: pre-collected hidden representation
This is the repository of our article published on MDPI Entropy "Feature Selection for Recommender Systems with Quantum Computing".
Collaborative-driven Quantum Feature Selection This repository was developed by Riccardo Nembrini, PhD student at Politecnico di Milano. See the websi
Continuous Conditional Random Field Convolution for Point Cloud Segmentation
CRFConv This repository is the implementation of "Continuous Conditional Random Field Convolution for Point Cloud Segmentation" 1. Setup 1) Building c
This is a simple bot that can be used to upload images to a third-party cloud (image hosting). Currently, only the imgbb.com website supports the bot. I Will do future updates
TGImageHosting This is a simple bot that can be used to upload images to a third party cloud (image hosting). Currently, only the imgbb.com website su
Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021)
Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021) Alexey Nekrasov*, Jonas Schult*, Or Litany, Bastian Leibe, Francis Engelmann Mix3D is
[ICCV 2021 Oral] SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
This repository contains the source code for the paper SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer (ICCV 2021 Oral). The project page is here.
MAASTA is a wrapper to create an Ansible inventory for MAAS instances that are provisioned by Terraform.
MAASTA is a wrapper to create an Ansible inventory for MAAS instances that are provisioned by Terraform.
GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.
GndNet: Fast Ground plane Estimation and Point Cloud Segmentation for Autonomous Vehicles. Authors: Anshul Paigwar, Ozgur Erkent, David Sierra Gonzale
PyTorch implementation for View-Guided Point Cloud Completion
PyTorch implementation for View-Guided Point Cloud Completion
A Software Framework for Neuromorphic Computing
A Software Framework for Neuromorphic Computing
This is a public repo where code samples are stored for the book Practical MLOps.
[Book-2021] Practical MLOps O'Reilly Book
Work with the AWS IP address ranges in native Python.
Amazon Web Services (AWS) publishes its current IP address ranges in JSON format. Python v3 provides an ipaddress module in the standard library that allows you to create, manipulate, and perform operations on IPv4 and IPv6 addresses and networks. Wouldn't it be nice if you could work with the AWS IP address ranges like native Python objects?
Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud. ☁️
Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud. ☁️
Confirm that files have been uploaded to Backblaze Cloud Backup successfully
Backblaze Backup Checker This Python script compares metadata captured from files within source folders against data parsed from Backblaze Cloud Backu
Scientific Computation Methods in C and Python (Open for Hacktoberfest 2021)
Sci - cpy README is a stub. Do expand it. Objective This repository is meant to be a ready reference for scientific computation methods. Do ⭐ it if yo
Code for the paper "Next Generation Reservoir Computing"
Next Generation Reservoir Computing This is the code for the results and figures in our paper "Next Generation Reservoir Computing". They are written
An inofficial PyTorch implementation of PREDATOR based on KPConv.
PREDATOR: Registration of 3D Point Clouds with Low Overlap An inofficial PyTorch implementation of PREDATOR based on KPConv. The code has been tested
triggercmd is a CLI client for the TRIGGERcmd cloud service.
TriggerCMD CLI client triggercmd is a CLI client for the TRIGGERcmd cloud service. installation the triggercmd package is available in PyPI. to instal
Point Cloud Registration using Representative Overlapping Points.
Point Cloud Registration using Representative Overlapping Points (ROPNet) Abstract 3D point cloud registration is a fundamental task in robotics and c
Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.
Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.
Client library for accessing IQM quantum computers
IQM Client Client-side library for connecting to an IQM quantum computer. Installation IQM client is not intended to be used directly by human users.
A git extension for seeing your Cloud Build deployment
A git extension for seeing your Cloud Build deployment
This is a vision-based 3d model manipulation and control UI
Manipulation of 3D Models Using Hand Gesture This program allows user to manipulation 3D models (.obj format) with their hands. The project support bo
Certifiable Outlier-Robust Geometric Perception
Certifiable Outlier-Robust Geometric Perception About This repository holds the implementation for certifiably solving outlier-robust geometric percep
Point cloud processing tool library.
Point Cloud ToolBox This point cloud processing tool library can be used to process point clouds, 3d meshes, and voxels. Environment python 3.7.5 Dep
Material related to the Principles of Cloud Computing course.
CloudComputingCourse Material related to the Principles of Cloud Computing course. This repository comprises material that I use to teach my Principle
gcp-doctor - Diagnostics for Google Cloud Platform
gcp-doctor is a command-line diagnostics tool for GCP customers. It finds and helps to fix common issues in Google Cloud Platform projects. It is used to test projects against a wide range of best-practices and frequent mistakes, based on the troubleshooting experience of the Google Cloud Support team.
PennyLane is a cross-platform Python library for differentiable programming of quantum computers.
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Source code for the paper "TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations"
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations Created by Jiahao Pang, Duanshun Li, and Dong Tian from InterDigital In
Adaptive Graph Convolution for Point Cloud Analysis
Adaptive Graph Convolution for Point Cloud Analysis This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph
Python Dialogflow CX Scripting API (SCRAPI)
Python Dialogflow CX Scripting API (SCRAPI) A high level scripting API for bot builders, developers, and maintainers. Table of Contents Introduction W
asyncio client for Deta Cloud
aiodeta Unofficial client for Deta Clound Install pip install aiodeta Supported functionality Deta Base Deta Drive Decorator for cron tasks Examples i
Microsoft Azure CLI - Azure Command-Line Interface
A great cloud needs great tools; we're excited to introduce Azure CLI, our next generation multi-platform command line experience for Azure.
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.
Sail is a free CLI tool to deploy, manage and scale WordPress applications in the DigitalOcean cloud.
Deploy WordPress to DigitalOcean with Sail Sail is a free CLI tool to deploy, manage and scale WordPress applications in the DigitalOcean cloud. Conte
AWSXenos will list all the trust relationships in all the IAM roles and S3 buckets
AWS External Account Scanner Xenos, is Greek for stranger. AWSXenos will list all the trust relationships in all the IAM roles, and S3 buckets, in an
Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
Self-Supervised Pillar Motion Learning for Autonomous Driving Chenxu Luo, Xiaodong Yang, Alan Yuille Self-Supervised Pillar Motion Learning for Autono
TorchIO is a Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.
Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.
machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service
This is a machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service. We initially made this project as a requirement for an internship at Indian Servers. We are now making it open to contribution.
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors In this paper, we propose a novel local descriptor-based fra
How to use COG's (Cloud optimized GeoTIFFs) with Rasterio
How to use COG's (Cloud optimized GeoTIFFs) with Rasterio According to Cogeo.org: A Cloud Opdtimized GeoTIFF (COG) is a regular GeoTIFF file, aimed at
A Bot to Upload files to Many Cloud services. Powered by Telethon.
oVo MultiUpload V1.0 👀 A Bot to Upload files to Many Cloud services. Powered by Telethon _ 🎯 Follow me and star this repo for more telegram bots. @H
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers Created by Xumin Yu*, Yongming Rao*, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou
Deep learning for spiking neural networks
A deep learning library for spiking neural networks. Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and even
3D cascade RCNN for object detection on point cloud
3D Cascade RCNN This is the implementation of 3D Cascade RCNN: High Quality Object Detection in Point Clouds. We designed a 3D object detection model
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
LiDAR fog simulation Created by Martin Hahner at the Computer Vision Lab of ETH Zurich. This is the official code release of the paper Fog Simulation
从flomo导出的笔记中生成词云
flomo-word-cloud 从flomo导出的笔记中生成词云 如何使用? 将本项目克隆到你的电脑上,使用如下的命令,安装所需python库 pip install -r requirements.txt 在项目里新建一个file文件夹,把所有从flomo导出的html文件放入其中 运行main
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud This repository contains a reference implementation of our Part-Aware Data Augment
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
Framework overview This library allows to quickly implement different architectures based on Reservoir Computing (the family of approaches popularized
Compute descriptors for 3D point cloud registration using a multi scale sparse voxel architecture
MS-SVConv : 3D Point Cloud Registration with Multi-Scale Architecture and Self-supervised Fine-tuning Compute features for 3D point cloud registration
Nasdaq Cloud Data Service (NCDS) provides a modern and efficient method of delivery for realtime exchange data and other financial information. This repository provides an SDK for developing applications to access the NCDS.
Nasdaq Cloud Data Service (NCDS) Nasdaq Cloud Data Service (NCDS) provides a modern and efficient method of delivery for realtime exchange data and ot
一个基于Python3的Bot。目前支持以Docker的方式部署在vps上。支持Aria2、本子下载、网易云音乐下载、Pixiv榜单下载、Youtue-dl支持、搜图。
介绍 一个基于Python3的Bot。目前支持以Docker的方式部署在vps上。 主要功能: 文件管理 修改主界面为 filebrowser,账号为admin,密码为admin,主界面路径:http://ip:port,请自行修改密码 FolderMagic自带的webdav:路径:http://
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Papers with code | Paper Nikola Zubić Pietro Lio University
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Note: This is an alpha (preview) version which is still under refining. nn-Meter is a novel and efficient system to accurately predict the inference l
nn-Meter is a novel and efficient system to accurately predict the inference latency of DNN models on diverse edge devices
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Ditch Xiaomi's cloud and use a Telegram bot instead
Yi-Home_Telegram_Bot_Interface Ditch Xiaomi's cloud and use a Telegram bot instead Features Motion detection Works by monitoring a tmp file that is cr
Investigating Attention Mechanism in 3D Point Cloud Object Detection (arXiv 2021)
Investigating Attention Mechanism in 3D Point Cloud Object Detection (arXiv 2021) This repository is for the following paper: "Investigating Attention
[ICCV, 2021] Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks This is an official PyTorch code repository of the paper "Cloud Transformers:
Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"
ASAP-Net This project implements ASAP-Net of paper ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation (BMVC2020). Overview We i
RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.
RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.
Synthetic LiDAR sequential point cloud dataset with point-wise annotations
SynLiDAR dataset: Learning From Synthetic LiDAR Sequential Point Cloud This is official repository of the SynLiDAR dataset. For technical details, ple
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data
LiDAR-MOS: Moving Object Segmentation in 3D LiDAR Data This repo contains the code for our paper: Moving Object Segmentation in 3D LiDAR Data: A Learn
MVP Benchmark for Multi-View Partial Point Cloud Completion and Registration
MVP Benchmark: Multi-View Partial Point Clouds for Completion and Registration [NEWS] 2021-07-12 [NEW 🎉 ] The submission on Codalab starts! 2021-07-1
Visius Heimdall is a tool that checks for risks on your cloud infrastructure
Heimdall Cloud Checker 🇧🇷 About Visius is a Brazilian cybersecurity startup that follows the signs of the crimson thunder ;) 🎸 ! As we value open s
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
WILSON Cloud Respwnder is a Web Interaction Logger Sending Out Notifications with the ability to serve custom content in order to appropriately respond to client-issued requests.
WILSON Cloud Respwnder What is this? WILSON Cloud Respwnder is a Web Interaction Logger Sending Out Notifications (WILSON) with the ability to serve c
XGBoost-Ray is a distributed backend for XGBoost, built on top of distributed computing framework Ray.
XGBoost-Ray is a distributed backend for XGBoost, built on top of distributed computing framework Ray.
graph-theoretic framework for robust pairwise data association
CLIPPER: A Graph-Theoretic Framework for Robust Data Association Data association is a fundamental problem in robotics and autonomy. CLIPPER provides
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021) This repository is for BAAF-Net introduce
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Machine Learning
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Machine Learning
Point Cloud Denoising input segmentation output raw point-cloud valid/clear fog rain de-noised Abstract Lidar sensors are frequently used in environme
Point Cloud Denoising input segmentation output raw point-cloud valid/clear fog rain de-noised Abstract Lidar sensors are frequently used in environme
Udacity Suse Cloud Native Foundations Scholarship Course Walkthrough
SUSE Cloud Native Foundations Scholarship Udacity is collaborating with SUSE, a global leader in true open source solutions, to empower developers and
Splunk Add-On to collect audit log events from Github Enterprise Cloud
GitHub Enterprise Audit Log Monitoring Splunk modular input plugin to fetch the enterprise audit log from GitHub Enterprise Support for modular inputs
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
What is nnDetection? Simultaneous localisation and categorization of objects in medical images, also referred to as medical object detection, is of hi
CloudProxy is to hide your scrapers IP behind the cloud
Hide your scrapers IP behind the cloud. Provision proxy servers across different cloud providers to improve your scraping success.
A repository containing useful resources needed to complete the SUSE Scholarship Challenge #UdacitySUSEScholars #poweredbySUSE
SUSE-udacity-cloud-native-scholarship A repository containing useful resources needed to complete the SUSE Scholarship Challenge #UdacitySUSEScholars
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
PyTorch code to reproduce LyDROO algorithm [1], which is an online computation offloading algorithm to maximize the network data processing capability subject to the long-term data queue stability and average power constraints. It applies Lyapunov optimization to decouple the multi-stage stochastic MINLP into deterministic per-frame MINLP subproblems and solves each subproblem via DROO algorithm. It includes:
A python to scratch API connector. Can fetch data from the API and send it back in cloud variables.
Scratch2py Scratch2py or S2py is a easy to use, versatile tool to communicate with the Scratch API Based of scratchclient by Raihan142857 Installation
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
GraspNet Baseline Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020). [paper] [dataset] [API] [do
A new GCN model for Point Cloud Analyse
Pytorch Implementation of PointNet and PointNet++ This repo is implementation for VA-GCN in pytorch. Classification (ModelNet10/40) Data Preparation D
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng Internati
Jina allows you to build deep learning-powered search-as-a-service in just minutes
Cloud-native neural search framework for any kind of data
This websocket program is for data transmission between server and client. Data transmission is for Federated Learning in Edge computing environment.
websocket-for-data-transmission This websocket program is for data transmission between server and client. Data transmission is for Federated Learning
Cloud Native sample microservices showcasing Full Stack Observability using AppDynamics and ThousandEyes
Cloud Native Sample Bookinfo App Observability Bookinfo is a sample application composed of four Microservices written in different languages.
Request based Python module(s) to help with the Newegg raffle.
Newegg Shuffle Python module(s) to help you with the Newegg raffle How to use $ git clone https://github.com/Matthew17-21/Newegg-Shuffle $ cd Newegg-S
This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling.
Locus This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order