408 Repositories
Python udacity-cloud-native Libraries
PyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning [Project Page] [Paper] Wenlong Huang1, Igor Mordatch2, Pieter Abbeel1,
Transform ML models into a native code with zero dependencies
m2cgen (Model 2 Code Generator) - is a lightweight library which provides an easy way to transpile trained statistical models into a native code
A Lightweight Cluster/Cloud VM Job Management Tool 🚀
Lightweight Cluster/Cloud VM Job Management 🚀 Are you looking for a tool to manage your training runs locally, on Slurm/Open Grid Engine clusters, SS
Weakly Supervised 3D Object Detection from Point Cloud with Only Image Level Annotation
SCCKTIM Weakly Supervised 3D Object Detection from Point Cloud with Only Image-Level Annotation Our code will be available soon. The class knowledge t
Code for "FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation".
FPS-Net Code for "FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation", accepted by ISPRS journal of Photogrammetry
Computationally efficient algorithm that identifies boundary points of a point cloud.
BoundaryTest Included are MATLAB and Python packages, each of which implement efficient algorithms for boundary detection and normal vector estimation
6D Grasping Policy for Point Clouds
GA-DDPG [website, paper] Installation git clone https://github.com/liruiw/GA-DDPG.git --recursive Setup: Ubuntu 16.04 or above, CUDA 10.0 or above, py
[ICCV 2021] HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration Introduction The repository contains the source code and pre-tr
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving Chenxu Luo, Xiaodong Yang, Alan Yuille Exploring Simple 3D Multi-Object Tracking for
[ICCV' 21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"
OcCo: Unsupervised Point Cloud Pre-training via Occlusion Completion This repository is the official implementation of paper: "Unsupervised Point Clou
AWS Blog post code for running feature-extraction on images using AWS Batch and Cloud Development Kit (CDK).
Batch processing with AWS Batch and CDK Welcome This repository demostrates provisioning the necessary infrastructure for running a job on AWS Batch u
Python package for reference counting native pointers
refcount master: testing: This package is primarily for managing resources in native libraries, written for instance in C++, from Python. While it boi
RichWatch is wrapper around AWS Cloud Watch to display beautiful logs with help of Python library Rich.
RichWatch is TUI (Textual User Interface) for AWS Cloud Watch. It formats and pretty prints Cloud Watch's logs so they are much more readable. Because
Find unused resource keys in properties files in a Salesforce Commerce Cloud project and get rid of them.
Find Unused Resource Keys Find unused resource keys in properties files in a Salesforce Commerce Cloud project and get rid of them. It looks through a
🍏 Make Thinc faster on macOS by calling into Apple's native Accelerate library
🍏 Make Thinc faster on macOS by calling into Apple's native Accelerate library
Michael Vinyard's utilities
Install vintools To download this package from pypi: pip install vintools Install the development package To download and install the developmen
Companion repo of the UCC 2021 paper "Predictive Auto-scaling with OpenStack Monasca"
Predictive Auto-scaling with OpenStack Monasca Giacomo Lanciano*, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella 2021 IEEE/ACM 14t
MPRNet-Cloud-removal: Progressive cloud removal
MPRNet-Cloud-removal Progressive cloud removal Requirements 1.Pytorch = 1.0 2.Python 3 3.NVIDIA GPU + CUDA 9.0 4.Tensorboard Installation 1.Clone the
A (completely native) python3 wifi brute-force attack using the 100k most common passwords (2021)
wifi-bf [LINUX ONLY] A (completely native) python3 wifi brute-force attack using the 100k most common passwords (2021) This script is purely for educa
Build better AWS infrastructure
Sceptre About Sceptre is a tool to drive AWS CloudFormation. It automates the mundane, repetitive and error-prone tasks, enabling you to concentrate o
code for Fast Point Cloud Registration with Optimal Transport
robot This is the repository for the paper "Accurate Point Cloud Registration with Robust Optimal Transport". We are in the process of refactoring the
DiscoNet: Learning Distilled Collaboration Graph for Multi-Agent Perception [NeurIPS 2021]
DiscoNet: Learning Distilled Collaboration Graph for Multi-Agent Perception [NeurIPS 2021] Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng
Pytorch implementation of Straight Sampling Network For Point Cloud Learning (ICIP2021).
Pytorch code for SS-Net This is a pytorch implementation of Straight Sampling Network For Point Cloud Learning (ICIP2021). Environment Code is tested
img-proof (IPA) provides a command line utility to test images in the Public Cloud
overview img-proof (IPA) provides a command line utility to test images in the Public Cloud (AWS, Azure, GCE, etc.). With img-proof you can now test c
Cloudkeeper is “housekeeping for clouds” - find leaky resources, manage quota limits, detect drift and clean up.
Cloudkeeper Housekeeping for Clouds! Table of contents Overview Docker based quick start Cloning this repository Component list Contact License Overvi
Robot to convert files to direct links, hosting files on Telegram servers, unlimited and without restrictions
stream-cloud demo : downloader_star_bot Run : Docker : install docker , docker-compose set Environment or edit Config/init.py docker-compose up Heroku
PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration (NeurIPS 2021) PyTorch implementation of the paper: CoFiNet: Reli
This repository allows the user to automatically scale a 3D model/mesh/point cloud on Agisoft Metashape
Metashape-Utils This repository allows the user to automatically scale a 3D model/mesh/point cloud on Agisoft Metashape, given a set of 2D coordinates
UI for converting various point cloud file formats
Point cloud format converter This coverter based on open3d. If you're using old ROS1 i suggest to use conda python3 evn to install requirements. Todo
PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"
PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
EgonNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale Paper: EgoNN: Egocentric Neural Network for Point Cloud
A LiDAR point cloud cluster for panoptic segmentation
Divide-and-Merge-LiDAR-Panoptic-Cluster A demo video of our method with semantic prior: More information will be coming soon! As a PhD student, I don'
pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"
MVTN: Multi-View Transformation Network for 3D Shape Recognition (ICCV 2021) By Abdullah Hamdi, Silvio Giancola, Bernard Ghanem Paper | Video | Tutori
CPython extension implementing Shared Transactional Memory with native-looking interface
CPython extension implementing Shared Transactional Memory with native-looking interface
Official PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)
Point-Based Modeling of Human Clothing Paper | Project page | Video This is an official PyTorch code repository of the paper "Point-Based Modeling of
Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker
Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker This repository contai
API Wrapper for seedr.cc
Seedr Python Client Seedr API built with 💛 by Souvik Pratiher Hit that Star button if you like this kind of SDKs and wants more of similar SDKs for o
A simple Blog Using Django Framework and Used IBM Cloud Services for Text Analysis and Text to Speech
ElhamBlog Cloud Computing Course first assignment. A simple Blog Using Django Framework and Used IBM Cloud Services for Text Analysis and Text to Spee
Cascading Feature Extraction for Fast Point Cloud Registration (BMVC 2021)
Cascading Feature Extraction for Fast Point Cloud Registration This repository contains the source code for the paper [Arxive link comming soon]. Meth
Online Boutique is a cloud-native microservices demo application
Online Boutique is a cloud-native microservices demo application. Online Boutique consists of a 10-tier microservices application. The application is
Python Project on Pro Data Analysis Track
Udacity-BikeShare-Project: Python Project on Pro Data Analysis Track Basic Data Exploration with pandas on Bikeshare Data Basic Udacity project using
A python app which aggregates and splits costs from multiple public cloud providers into a csv
Cloud Billing This project aggregates the costs public cloud resources by accounts, services and tags by importing the invoices from public cloud prov
Patch-Based Deep Autoencoder for Point Cloud Geometry Compression
Patch-Based Deep Autoencoder for Point Cloud Geometry Compression Overview The ever-increasing 3D application makes the point cloud compression unprec
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
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
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*,
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
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
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
A git extension for seeing your Cloud Build deployment
A git extension for seeing your Cloud Build deployment
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.
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
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
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
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
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.
pydsinternals - A Python native library containing necessary classes, functions and structures to interact with Windows Active Directory.
pydsinternals - Directory Services Internals Library A Python native library containing necessary classes, functions and structures to interact with W
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