514 Repositories
Python cloud-run Libraries
Will load an SRC page, logged in with Firefox's cookies imported, and delete all comments from every run
SRCCommentsAutoDeleter Will load an SRC page, logged in with a support browser's cookies, and delete all comments from every run Config is all done in
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
Complet and easy to run Port Scanner with Python
Port_Scanner Complet and easy to run Port Scanner with Python Installation 1- git clone https://github.com/s120000/Port_Scanner 2- cd Port_Scanner 3-
A simple program to run through inputs for a 3n+1 problem
Author Tyler Windemuth Collatz_Conjecture A simple program to run through inputs for a 3n+1 problem Purpose: doesn't really have a purpose, did this t
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
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
Fast and simple implementation of RL algorithms, designed to run fully on GPU.
RSL RL Fast and simple implementation of RL algorithms, designed to run fully on GPU. This code is an evolution of rl-pytorch provided with NVIDIA's I
A way to run youtube videos in TTY
TTY youtube client its finally here, the one thing literally NO ONE ASKED FOR!! A way to run youtube videos in TTY Dependencies: (pip) yt-search (syst
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
Build and run Docker containers leveraging NVIDIA GPUs
NVIDIA Container Toolkit Introduction The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includ
A DSL for data-driven computational pipelines
"Dataflow variables are spectacularly expressive in concurrent programming" Henri E. Bal , Jennifer G. Steiner , Andrew S. Tanenbaum Quick overview Ne
dsub is a command-line tool that makes it easy to submit and run batch scripts in the cloud.
Open-source command-line tool to run batch computing tasks and workflows on backend services such as Google Cloud.
Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.
ApproxMVBB Status Build UnitTests Homepage Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in
Spatial Sparse Convolution Library
SpConv: Spatially Sparse Convolution Library PyPI Install Downloads CPU (Linux Only) pip install spconv CUDA 10.2 pip install spconv-cu102 CUDA 11.1 p
Point Cloud Registration Network
PCRNet: Point Cloud Registration Network using PointNet Encoding Source Code Author: Vinit Sarode and Xueqian Li Paper | Website | Video | Pytorch Imp
Run Django tests with testcontainers.
django-rdtwt (Run Django Tests With Testcontainers) This targets users who wish to forget setting up a database for tests. There's no manually startin
Source code for Fixed-Point GAN for Cloud Detection
FCD: Fixed-Point GAN for Cloud Detection PyTorch source code of Nyborg & Assent (2020). Abstract The detection of clouds in satellite images is an ess
Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)
Density-aware Chamfer Distance This repository contains the official PyTorch implementation of our paper: Density-aware Chamfer Distance as a Comprehe
Lepard: Learning Partial point cloud matching in Rigid and Deformable scenes
Lepard: Learning Partial point cloud matching in Rigid and Deformable scenes [Paper] Method overview 4DMatch Benchmark 4DMatch is a benchmark for matc
A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.
Minimal Hand A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run. This project provides the
Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"
DSPoint Official implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion". Paper link: https://arxiv.org/abs/2111.10
Desafio proposto pela IGTI em seu bootcamp de Cloud Data Engineer
Desafio Modulo 4 - Cloud Data Engineer Bootcamp - IGTI Objetivos Criar infraestrutura como código Utuilizando um cluster Kubernetes na Azure Ingestão
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
ICCVW21-TradiCV-Survey-of-LiDAR-Cluster Motivation In contrast to popular end-to-end deep learning LiDAR panoptic segmentation solutions, we propose a
Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)
Density-aware Chamfer Distance This repository contains the official PyTorch implementation of our paper: Density-aware Chamfer Distance as a Comprehe
Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS)
This repository contains tools to simulate the ground filtering process of a registered point cloud. The repository contains two filtering methods. The first method uses a normal vector, and fit to plane. The second method utilizes voxel adjacency, and fit to plane.
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place
Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"
DSPoint Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion" Coming soon, as soon as I finish a
💬 Python scripts to parse Messenger, Hangouts, WhatsApp and Telegram chat logs into DataFrames.
Chatistics Python 3 scripts to convert chat logs from various messaging platforms into Pandas DataFrames. Can also generate histograms and word clouds
Machine learning notebooks in different subjects optimized to run in google collaboratory
Notebooks Name Description Category Link Training pix2pix This notebook shows a simple pipeline for training pix2pix on a simple dataset. Most of the
Apply different text recognition services to images of handwritten documents.
Handprint The Handwritten Page Recognition Test is a command-line program that invokes HTR (handwritten text recognition) services on images of docume
Project 4 Cloud DevOps Nanodegree
Project Overview In this project, you will apply the skills you have acquired in this course to operationalize a Machine Learning Microservice API. Yo
Building house price data pipelines with Apache Beam and Spark on GCP
This project contains the process from building a web crawler to extract the raw data of house price to create ETL pipelines using Google Could Platform services.
Python client SDK designed to simplify integrations by automating key generation and certificate enrollment using Venafi machine identity services.
This open source project is community-supported. To report a problem or share an idea, use Issues; and if you have a suggestion for fixing the issue,
Some method of processing point cloud
Point-Cloud Some method of processing point cloud inversion the completion pointcloud to incomplete point cloud Some model of encoding point cloud to
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks This is a Pytorch-Lightning implementation of the paper "Self-s
Hera is a Python framework for constructing and submitting Argo Workflows.
Hera is an Argo Workflows Python SDK. Hera aims to make workflow construction and submission easy and accessible to everyone! Hera abstracts away workflow setup details while still maintaining a consistent vocabulary with Argo Workflows.
NixOps is a tool for deploying to NixOS machines in a network or cloud.
NixOps NixOps is a tool for deploying to NixOS machines in a network or the cloud. Key features include: Declarative: NixOps determines and carries ou
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Image Super-Resolution (ISR) The goal of this project is to upscale and improve the quality of low resolution images. This project contains Keras impl
Run async workflows using pytest-fixtures-style dependency injection
Run async workflows using pytest-fixtures-style dependency injection
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,
Provide an input CSV and a target field to predict, generate a model + code to run it.
automl-gs Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learn
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
Kriecher is a simple Web Scanner which will run it's own checks for the OWASP
Kriecher is a simple Web Scanner which will run it's own checks for the OWASP top 10 https://owasp.org/www-project-top-ten/# as well as run a
[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
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
Python On WhatsApp - Run your python codes on whatsapp along with talking to a chatbot
Python On WhatsApp Run your python codes on whatsapp along with talking to a chatbot This is a small python project to run python on whatsapp. and i c
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
A python script to run any executable and pass test cases to it's stdin and compare stdout with correct output.
quera_testcase_checker A python script to run any executable and pass test cases to it's stdin and compare stdout with correct output. proper way to u
Python functions to run WASS stereo wave processing executables, and load and post process WASS output files.
wass-pyfuns Python functions to run the WASS stereo wave processing executables, and load and post process the WASS output files. General WASS (Waves
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
A Python 3.6+ package to run .many files, where many programs written in many languages may exist in one file.
RunMany Intro | Installation | VSCode Extension | Usage | Syntax | Settings | About A tool to run many programs written in many languages from one fil
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
A multithreaded tool for searching and downloading images from popular search engines. It is straightforward to set up and run!
🕳️ CygnusX1 Code by Trong-Dat Ngo. Overviews 🕳️ CygnusX1 is a multithreaded tool 🛠️ , used to search and download images from popular search engine
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
SquireBot is a Discord bot designed to run and manage tournaments entirely within a Discord.
Overview SquireBot is a Discord bot designed to run and manage tournaments entirely within a Discord. The current intended usecase is Magic: the Gathe
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
Install, run, and update apps without root and only in your home directory
Qube Apps Install, run, and update apps in the private storage of a Qube. Build and install in Qubes Get the code: git clone https://github.com/micahf
Install, run, and update apps without root and only in your home directory
Qube Apps Install, run, and update apps in the private storage of a Qube Building instrutions
This is a simple python flask web app that implements geometric calculations for three shapes given the user's input for radius and height. It is recommended this app be run using a python virtual environment, but not necessary for success. Unit tests are also included.
Geometry Calculator Web The is a simple Flask-based web application that uses a Geometry Calculator Tool created out of assignments from my Intro to P
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
A simple tool to extract python code from a Jupyter notebook, and then run pylint on it for static analysis.
Jupyter Pylinter A simple tool to extract python code from a Jupyter notebook, and then run pylint on it for static analysis. If you find this tool us
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
A tutorial for people to run synthetic data replica's from source healthcare datasets
Synthetic-Data-Replica-for-Healthcare Description What is this? A tailored hands-on tutorial showing how to use Python to create synthetic data replic
A simple but powerful Python packer to run any project with any virtualenv dependencies anywhwere.
PyEmpaq A simple but powerful Python packer to run any project with any virtualenv dependencies anywhwere. With PyEmpaq you can convert any Python pro
Run Python code right in your Telegram messages
Run Python code right in your Telegram messages Made with Telethon library, TGPy is a tool for evaluating expressions and Telegram API scripts. Instal
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"
Exercise to teach a newcomer to the CLSP grid to set up their environment and run jobs
Exercise to teach a newcomer to the CLSP grid to set up their environment and run jobs
Run unpatched binaries on Nix/NixOS
Run unpatched binaries on Nix/NixOS
pipx — Install and Run Python Applications in Isolated Environments
Install and Run Python Applications in Isolated Environments
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
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
Run functions in parallel easily, with their results typed correctly!
typesafe_parmap pip install pip install typesafe-parmap Run functions in parallel safely with typesafe parmap! GitHub: https://github.com/thejaminato
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)