478 Repositories
Python point-cloud Libraries
Attention-based Transformation from Latent Features to Point Clouds (AAAI 2022)
Attention-based Transformation from Latent Features to Point Clouds This repository contains a PyTorch implementation of the paper: Attention-based Tr
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
PySDM PySDM is a package for simulating the dynamics of population of particles. It is intended to serve as a building block for simulation systems mo
Develop and deploy applications with the Ionburst Cloud Python SDK.
Ionburst SDK for Python The Ionburst SDK for Python enables developers to easily integrate with Ionburst Cloud, building in ultra-secure and private o
Python client for using Prefect Cloud with Saturn Cloud
prefect-saturn prefect-saturn is a Python package that makes it easy to run Prefect Cloud flows on a Dask cluster with Saturn Cloud. For a detailed tu
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
urban_road_filter: a real-time LIDAR-based urban road and sidewalk detection algorithm for autonomous vehicles Dependency ROS (tested with Kinetic and
ESMAC diags - Earth System Model Aerosol-Cloud Diagnostics Package
Earth System Model Aerosol-Cloud Diagnostics Package This Earth System Model (ES
Autoscaling volumes for Kubernetes (with the help of Prometheus)
Kubernetes Volume Autoscaler (with Prometheus) This repository contains a service that automatically increases the size of a Persistent Volume Claim i
[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans Introduction We introduce the task of dense captioning in 3D scans from commodity RGB-D sensor
Pointer-generator - Code for the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks
Note: this code is no longer actively maintained. However, feel free to use the Issues section to discuss the code with other users. Some users have u
UnpNet - Rethinking 3-D LiDAR Point Cloud Segmentation(IEEE TNNLS)
UnpNet Citation Please cite the following paper if you use this repository in your reseach. @article {PMID:34914599, Title = {Rethinking 3-D LiDAR Po
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control.
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Data-science-on-gcp - Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
data-science-on-gcp Source code accompanying book: Data Science on the Google Cloud Platform, 2nd Edition Valliappa Lakshmanan O'Reilly, Jan 2022 Bran
TarkovScrappy - A nifty little bot that lets you know if a queried item might be required for a quest at some point in the land of Tarkov!
TarkovScrappy A nifty little bot that lets you know if a queried item might be required for a quest at some point in the land of Tarkov! Hideout items
Emissary - open source Kubernetes-native API gateway for microservices built on the Envoy Proxy
Emissary-ingress Emissary-Ingress is an open-source Kubernetes-native API Gateway + Layer 7 load balancer + Kubernetes Ingress built on Envoy Proxy. E
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Created by Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas from Sta
Advanced_Data_Visualization_Tools - The present hands-on lab mainly uses Immigration to Canada dataset and employs advanced visualization tools such as word cloud, and waffle plot to display relations between features within the dataset.
Hands-on Practice Learning Lab for Data Science Overview This hands on practice lab is a part of Data Visualization with Python course offered by Cour
Storage-optimizer - Identify potintial optimizations on the cloud storage accounts
Storage Optimizer Identify potintial optimizations on the cloud storage accounts
Python interface to IEX and IEX cloud APIs
Python interface to IEX Cloud Referral Please subscribe to IEX Cloud using this referral code. Getting Started Install Install from pip pip install py
Backend.AI Client Library for Python
Backend.AI Client The official API client library for Backend.AI Usage (KeyPair mode) You should set the access key and secret key as environment vari
A Python library for common tasks on 3D point clouds
Point Cloud Utils (pcu) - A Python library for common tasks on 3D point clouds Point Cloud Utils (pcu) is a utility library providing the following fu
Terraform wrapper to manage state across multiple cloud providers(AWS, GCP, and Azure)
Terraform Remote State Manager(tfremote) tf is a python package for managing terraform remote state for: Google(Gcloud), AWS, and Azure. It sets a def
Asynchronous serverless task queue with timed leasing of tasks
Asynchronous serverless task queue with timed leasing of tasks. Threaded implementations for SQS and local filesystem.
Pythonic event-processing library based on decorators
Process Events In Style This library aims to simplify the common pattern of event processing. It simplifies the process of filtering, dispatching and
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. The hub data layout enables rapid transformations and streaming of data while training models at scale. Hub is used by Google, Waymo, Red Cross, Oxford University, and Omdena.
Python code that gives the fastest path from point a to point b of a chess horse
PERSONAL-PROJECTS CARLOS MAGALLANES-ARANDA'S PERSONAL PROJECTS kchess.py is the code. its input is the start and the end. EXMPLE - a1 d5 its output is
Gaia: a chrome extension that curates environmental news of a company
Gaia - Gaia: Your Environment News Curator Call for Code 2021 Gaia: a chrome extension that curates environmental news of a company Explore the docs »
Simple integration between FastAPI and cloud authentication services (AWS Cognito, Auth0, Firebase Authentication).
FastAPI Cloud Auth fastapi-cloudauth standardizes and simplifies the integration between FastAPI and cloud authentication services (AWS Cognito, Auth0
Implementation of Forwards Kinematics, Inverse Kinematics, Point to Point Movement and Synchronous movement for Kuka KR 120 R2700-2.
I made this project for my university course in robotics. I rarely found any information regarding the implementation of mathematics in code. So I decided to make this repo in order to help others :) I got these methods checked by my tutor but feel free to connect if something needs to be changed.
PyTorch Implementation of PIXOR: Real-time 3D Object Detection from Point Clouds
PIXOR: Real-time 3D Object Detection from Point Clouds This is a custom implementation of the paper from Uber ATG using PyTorch 1.0. It represents the
Given a 2D triangle mesh, we could randomly generate cloud points that fill in the triangle mesh
generate_cloud_points Given a 2D triangle mesh, we could randomly generate cloud points that fill in the triangle mesh. Run python disp_mesh.py Or you
BisQue is a web-based platform designed to provide researchers with organizational and quantitative analysis tools for 5D image data. Users can extend BisQue by implementing containerized ML workflows.
Overview BisQue is a web-based platform specifically designed to provide researchers with organizational and quantitative analysis tools for up to 5D
Easy to use Google Pub/Sub
Relé makes integration with Google PubSub straightforward and easy. Motivation and Features The Publish-Subscribe pattern and specifically the Google
Python library to manipulate Ingenico mobile payment device like iCT220 or iWL220 equipped with Telium Manager. RS232/USB.
Python library to manipulate Ingenico mobile payment device like iCT220 or iWL220 equipped with Telium Manager. RS232/USB.
Utility for Google Text-To-Speech batch audio files generator. Ideal for prompt files creation with Google voices for application in offline IVRs
Google Text-To-Speech Batch Prompt File Maker Are you in the need of IVR prompts, but you have no voice actors? Let Google talk your prompts like a pr
Cookiecutter to create a Google Function. Powered by Poetry, GitHub actions, and Google Cloud Platform
Cookiecutter Google Function Cookiecutter template for a Google Function. Powered by Poetry, and GitHub actions. Quickstart Install the latest Cookiec
Built for streamlining development of Google Assistant Actions
Apprentice Apprentice is a framework built for developing Google Actions via Dialogflow and Google Cloud (serverless) Functions. Includes: plug-and-pl
Drover is a command-line utility for deploying Python packages to Lambda functions.
drover drover: a command-line utility for deploying Python packages to Lambda functions. Background This utility aims to provide a simple, repeatable,
⚡ Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions
⚡ Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –
Self-Adaptable Point Processes with Nonparametric Time Decays
NPPDecay This is our implementation for the paper Self-Adaptable Point Processes with Nonparametric Time Decays, by Zhimeng Pan, Zheng Wang, Jeff M. P
Python samples for Google Cloud Platform products.
Google Cloud Platform Python Samples Python samples for Google Cloud Platform products. Setup Install pip and virtualenv if you do not already have th
High-performance moving least squares material point method (MLS-MPM) solver.
High-Performance MLS-MPM Solver with Cutting and Coupling (CPIC) (MIT License) A Moving Least Squares Material Point Method with Displacement Disconti
Terraform Cloud CLI for Managing Workspace Terraform Versions
Terraform Cloud Version Manager This tiny script makes it easy to update the Terraform Version on all of the Workspaces inside Terraform Cloud. It wil
Help you understand Manual and w/ Clutch point while driving.
简体中文 forza_auto_gear forza_auto_gear is a tool for Forza Horizon 5. It will help us understand the best gear shift point using Manual or w/ Clutch in
PyTorch implementation of DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration (BMVC 2021)
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration [video] [paper] [supplementary] [data] [thesis] Introduction De
Complete system for facial identity system
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring
Robotics with GPU computing
Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple
BERT-based Financial Question Answering System
BERT-based Financial Question Answering System In this example, we use Jina, PyTorch, and Hugging Face transformers to build a production-ready BERT-b
Neural Point-Based Graphics
Neural Point-Based Graphics Project Video Paper Neural Point-Based Graphics Kara-Ali Aliev1 Artem Sevastopolsky1,2 Maria Kolos1,2 Dmitry Ulyanov3
A DiY holiday project to demonstrate how you can send data from adafruitIO cloud to a balena edge device
holiday-star balena ❤️ adafruitIO Introduction A DiY holiday project to demonstrate how you can send data from adafruitIO cloud to a balena edge devic
Prisma Cloud utility scripts, and a Python SDK for Prisma Cloud APIs.
pcs-toolbox Prisma Cloud utility scripts, and a Python SDK for Prisma Cloud APIs. Table of Contents Support Setup Configuration Script Usage CSPM Scri
Scout Suite - an open source multi-cloud security-auditing tool,
Description Scout Suite is an open source multi-cloud security-auditing tool, which enables security posture assessment of cloud environments. Using t
[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
COSCO Framework COSCO is an AI based coupled-simulation and container orchestration framework for integrated Edge, Fog and Cloud Computing Environment
Cloud One Container Security Runtime Events Forwarder
Example on how to query events by a RESTful API, compose CEF event format and send the events to an UDP receiver.
Providing DevOps and security teams script to identify cloud workloads that may be vulnerable to the Log4j vulnerability(CVE-2021-44228) in their AWS account.
We are providing DevOps and security teams script to identify cloud workloads that may be vulnerable to the Log4j vulnerability(CVE-2021-44228) in their AWS account. The script enables security teams to identify external-facing AWS assets by running the exploit on them, and thus be able to map them and quickly patch them
Prophet is a tool to discover resources detailed for cloud migration, cloud backup and disaster recovery
Prophet is a tool to discover resources detailed for cloud migration, cloud backup and disaster recovery
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity Introduction The 3D LiDAR place recognition aim
Python Serverless Microframework for AWS
AWS Chalice Chalice is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda.
🦍 The Cloud-Native API Gateway
Kong or Kong API Gateway is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugi
Get 2D point positions (e.g., facial landmarks) projected on 3D mesh
points2d_projection_mesh Input 2D points (e.g. facial landmarks) on an image Camera parameters (extrinsic and intrinsic) of the image Aligned 3D mesh
Scan publicly accessible assets on your AWS cloud environment
poro Description Scan for publicly accessible assets on your AWS environment Services covered by this tool: AWS ELB API Gateway S3 Buckets RDS Databas
Pulumi - Developer-First Infrastructure as Code. Your Cloud, Your Language, Your Way 🚀
Pulumi's Infrastructure as Code SDK is the easiest way to create and deploy cloud software that use containers, serverless functions, hosted services,
Cached file system for online resources in Python
Minato Cache & file system for online resources in Python Features Minato enables you to: Download & cache online recsources minato supports the follo
Official Implementation of SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations
Official Implementation of SimIPU SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations Since
Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"
Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"
[NeurIPS 2021] Garment4D: Garment Reconstruction from Point Cloud Sequences
Garment4D [PDF] | [OpenReview] | [Project Page] Overview This is the codebase for our NeurIPS 2021 paper Garment4D: Garment Reconstruction from Point
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Class-Balanced Loss Based on Effective Number of Samples Tensorflow code for the paper: Class-Balanced Loss Based on Effective Number of Samples Yin C
Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Björn Michele1), Alexandre Boulch1), Gilles Puy1), Maxime Bucher1) and Rena
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion This repo intends to release code for our work: Zhaoyang Lyu*, Zhifeng
[NeurIPS 2021] Garment4D: Garment Reconstruction from Point Cloud Sequences
Garment4D [PDF] | [OpenReview] | [Project Page] Overview This is the codebase for our NeurIPS 2021 paper Garment4D: Garment Reconstruction from Point
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
Bayesian Deep Learning for Manufacturing 2.0 (dlmfg) Object Shape Error Response (OSER) Digital Lifecycle Management - In Process Quality Improvement
Un bot leggero basato su py-cord facile da hostare sul cloud
GalbiBot Un bot leggero basato su py-cord facile da hostare sul cloud Guida installazione su una macchina Per far funzionare il bot devi aver installa
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021)
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021) This is the implementation of PSD (ICCV 2021),
Python Client for Yandex Cloud Logging
Python Client for Yandex Cloud Logging Installation pip3 install python-yandex-cloud-logging Creating a Yandex Cloud Logging Group yc logging group c
Authware API wrapper for Python 3.5+
AuthwarePy Asynchronous wrapper for Authware in Python 3.5+ View our documentation 📲 Installation Run this to install the library via pip: pip instal
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds PCAM: Product of Cross-Attention Matrices for Rigid Registration of P
Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Diffusion Probabilistic Models for 3D Point Cloud Generation [Paper] [Code] The official code repository for our CVPR 2021 paper "Diffusion Probabilis
Score-Based Point Cloud Denoising (ICCV'21)
Score-Based Point Cloud Denoising (ICCV'21) [Paper] https://arxiv.org/abs/2107.10981 Installation Recommended Environment The code has been tested in
Deploy your apps on any Cloud provider in just a few seconds
The simplest way to deploy your apps in the Cloud Deploy your apps on any Cloud providers in just a few seconds ⚡ Qovery Engine is an open-source abst
Direct LiDAR Odometry: Fast Localization with Dense Point Clouds
Direct LiDAR Odometry: Fast Localization with Dense Point Clouds DLO is a lightweight and computationally-efficient frontend LiDAR odometry solution w
Monochrome's API, implemented with Deta Base and Deta Drive.
Monochrome Monochrome's API, implemented with Deta Base and Deta Drive. Create a free account on Deta to test this out! Most users will prefer the Mon
A simple algorithm for extracting tree height in sparse scene from point cloud data.
TREE HEIGHT EXTRACTION IN SPARSE SCENES BASED ON UAV REMOTE SENSING This is the offical python implementation of the paper "Tree Height Extraction in
Adjust the white point, gamma or make your XDR display darker without losing HDR peak luminance or the ability to adjust display brightness
XDR Tuner Adjust the white point, gamma or make your XDR display darker without losing HDR peak luminance or the ability to adjust display brightness
Cooperative Driving Dataset: a dataset for multi-agent driving scenarios
Cooperative Driving Dataset (CODD) The Cooperative Driving dataset is a synthetic dataset generated using CARLA that contains lidar data from multiple
Efficient training of deep recommenders on cloud.
HybridBackend Introduction HybridBackend is a training framework for deep recommenders which bridges the gap between evolving cloud infrastructure and
Distributed, blockchain based hashtables middleware for deduplication of file uploads to the cloud
distributed-blockchain-based-secure-file-dedupe Searching is Distributed, Block and Access List for each upload is unique and it is stored in a single
Fast and robust clustering of point clouds generated with a Velodyne sensor.
Depth Clustering This is a fast and robust algorithm to segment point clouds taken with Velodyne sensor into objects. It works with all available Velo
Official implementation of Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models at NeurIPS 2021
Representer Point Selection via Local Jacobian Expansion for Classifier Explanation of Deep Neural Networks and Ensemble Models This repository is the
This is a simple leaderboard for 30 days of Google Cloud program for students of ASIET
30daysleaderboard #Hacktoberfest - Please don't make changes in readme file. Only improvement in the project will be accepted. Update - Now if you run
Simple web site for sharing your short stories and beautiful pictures
Story Contest Simple web site for sharing your short stories and beautiful pictures.(Cloud computing first assignment) Clouds The table below shows cl
This is the face keypoint train code of project face-detection-project
face-key-point-pytorch 1. Data structure The structure of landmarks_jpg is like below: |--landmarks_jpg |----AFW |------AFW_134212_1_0.jpg |------AFW_
Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
Point-BERT: Pre-Training 3D Point Cloud Transformers with Masked Point Modeling Created by Xumin Yu*, Lulu Tang*, Yongming Rao*, Tiejun Huang, Jie Zho
PyTorch implementation of Pointnet2/Pointnet++
Pointnet2/Pointnet++ PyTorch Project Status: Unmaintained. Due to finite time, I have no plans to update this code and I will not be responding to iss
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
PointCNN: Convolution On X-Transformed Points Created by Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen. Introduction PointCNN
Adding Firebase Cloud Messaging Service into a Django Project
Adding Firebase Cloud Messaging Service into a Django Project The aim of this repository is to provide a step-by-step guide and a basic project sample
🗂️ 🔍 Geospatial Data Management and Search API - Django Apps
Geospatial Data API in Django Resonant GeoData (RGD) is a series of Django applications well suited for cataloging and searching annotated geospatial
Kernel Point Convolutions
Created by Hugues THOMAS Introduction Update 27/04/2020: New PyTorch implementation available. With SemanticKitti, and Windows supported. This reposit
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
PointRCNN PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud Code release for the paper PointRCNN:3D Object Proposal Generation a
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
OpenPCDet OpenPCDet is a clear, simple, self-contained open source project for LiDAR-based 3D object detection. It is also the official code release o