Python Multi-cloud-transfer Resources

SGPT: Multi-billion parameter models for semantic search This repository contains code, results and pre-trained models for the paper SGPT: Multi-billi

PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks. It is developed by the Multi-Agent Artificial Intel

Simple Multi Node Clickhouse Cluster I hate those single-node clickhouse clusters and manually installation, I mean, why should we: Running multiple c

This library is an abstraction for Splunk-related development, maintenance, or migration operations. It provides a single CLI or SDK to conveniently perform various operations such as managing a local development container, retrieving sample-data, building applications, comparing instances, managing knowledge objects and hopefully much more in the future.

Automates much of the process of moving translations from the old Multilingual external module to the newer built-in Multi-Language Management (MLM) page.

Connect is a Python Flask project within the cloud-native ecosystem. Second project of Udacity's Cloud Native Nanodegree program, focusing on documenting and architecting a monolith migration to microservices.

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation. Generally, MAS methods register multiple atlases, i.e., medical images with corresponding labels, to a target image;

Data, code and pretrained models for the paper Deep Surface Reconstruction from Point Clouds with Visibility Information.

Peer Loss functions This repository is the (Multi-Class & Deep Learning) Pytorch implementation of "Peer Loss Functions: Learning from Noisy Labels wi

ModelNet-C Code for the paper "Benchmarking and Analyzing Point Cloud Classification under Corruptions". For the latest updates, see: sites.google.com

MOEA-HH An open-source hyper-heuristic framework for multi-objective optimization. Introduction The multi-objective optimization technique is widely u

SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification

Multi-Stage Spatial-Temporal Convolutional Neural Network (MS-GCN) This code implements the skeleton-based action segmentation MS-GCN model from Autom

Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters

Multi Camera Calibration 'modules/camera_calibration/app/camera_calibration.cpp' is for calculating extrinsic parameter of each individual cameras. 'm

Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate

A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.

Definitive Guide to Creating a SQL Database on Cloud with AWS and Python An easy-to-follow comprehensive guide on integrating Amazon RDS, MySQL Workbe

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks Introduction This repo contains the pytorch impl

TGraM Multi-Object Tracking in Satellite Videos with Graph-Based Multi-Task Modeling, Qibin He, Xian Sun, Zhiyuan Yan, Beibei Li, Kun Fu Abstract Rece

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition Paper: MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition accepted fo

Differentiable Simulation of Soft Multi-body Systems Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin [Paper] [Code] Updates The C++ backend s

Kivy is an open source Python framework for creating cross-platform multi-touch mobile applications with Natural User Interface.

This repository contains code written in the AWS Cloud Development Kit (CDK) which launches infrastructure across two different regions to demonstrate using AWS AppSync in a multi-region setup.

Phone Crawler: Phone Crawler with multi-thread functionality Disclaimer: I'm not responsible for any illegal/misuse actions, this program was made for

Classification using Deep Learning Requirements PyTorch version = 1.9.1+cu111 Python version = 3.8.10 PyTorch-Lightning version = 1.4.9 Huggingface

FCM Notification for ERPNext Send notifications created in Frappe or ERPNext as push notication via Firebase Cloud Message(FCM) Steps to use the app:

A Multi-Tool with 30+Options.

IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification The repostiory consists of the code, results and data set links for

Kyper A multi purpose password managing and generating tool called Kyper. Setup The setup for Kyper is fairly simple only involving the command python

Pytorch implementation of the paper "Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization"

VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built

This project is based on cloud services to create data lake, ETL process, train and deploy learning model to implement a recommendation system.

PressurePlate is a multi-agent environment that requires agents to cooperate during the traversal of a gridworld. The grid is partitioned into several rooms, and each room contains a plate and a closed doorway.

Cloudsy Bot A simple bot to upload file to various cloud servers. Variables API_HASH Your API Hash from my.telegram.org API_ID Your API ID from my.tel

Using ABYZ and Media-Bias Fact-Check outlet databases, I've provided outlet CSV files for both and scripts to intended to match Media Cloud files to respective outlets.

This repository contains the raw dataset used in NHNet [1] for the task of News Story Headline Generation. The code of data processing and training is available under Tensorflow Models - NHNet.

MLOps with Vertex AI This example implements the end-to-end MLOps process using Vertex AI platform and Smart Analytics technology capabilities. The ex

Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate

An evolutionary multi-agent platform based on mesa and NEAT

Density is a open-sourced multi-purpose tool for ROBLOX with some cool

CloudFormation Drift Remediation - Use Cloud Control API to remediate drift that was detected on a CloudFormation stack

Relatório dos procedimentos executados e resultados obtidos. Objetivos Treinar um modelo para classificação de SPAM usando o dataset train_data. Class

Oracle Cloud Infrastructure Object Storage fsspec implementation The Oracle Cloud Infrastructure Object Storage service is an internet-scale, high-per

Mega to Google Drive (UI Added! 😊 ) A Simple and User-Friendly Google Collab Notebook with UI to transfer your data from Mega to Google Drive. ⚙️ How

TorchGRL TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffi

Plant Pathology 2020 FGVC7 Introduction A deep learning model pipeline for training, experimentaiton and deployment for the Kaggle Competition, Plant

Score refinement for confidence-based 3D multi-object tracking Our video gives a brief explanation of our Method. This is the official code for the pa

Multi-label classification of retinal disorders This is a deep learning course project. The goal is to develop a solution, using computer vision techn

time-server-client A simple multi-threaded time server and client in Python. This uses the latest match/case command found in Python 3.10 so requires

MPLogger Multi-processing capable print-like logger for Python Requirements and Installation Python 3.8+ is required Pip pip install mplogger Manual P

MetaTTE: a Meta-Learning Based Travel Time Estimation Model for Multi-city Scenarios This is the official TensorFlow implementation of MetaTTE in the

DROPO: Sim-to-Real Transfer with Offline Domain Randomization Gabriele Tiboni, Karol Arndt, Ville Kyrki. This repository contains the code for the pap

Fast Differentiable Matrix Sqrt Root Geometric Interpretation of Matrix Square Root and Inverse Square Root This repository constains the official Pyt

On the adaptation of recurrent neural networks for system identification This repository contains the Python code to reproduce the results of the pape

CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces This is a repository for the following pape

Official code of Team Yao at Multi-Modal-Fact-Verification-2022 A Multi-Modal Fact Verification dataset released as part of the De-Factify workshop in

Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques This repository is derived from the NMTGMinor

HistoKT: Cross Knowledge Transfer in Computational Pathology Exciting News! HistoKT has been accepted to ICASSP 2022. HistoKT: Cross Knowledge Transfe

Style transfer between images was performed using the VGG19 model. The necessary codes, libraries and all other information of this project are available below

This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.

OptiPLANT OptiPLANT is a cloud-based based system that empowers professional and non-professional data scientists to build high-quality predictive mod

AirPose AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation Check the teaser video This repository contains the code of A

idn-solver Paper | Project Page This repository contains the code release of our ICCV 2021 paper: A Confidence-based Iterative Solver of Depths and Su

Medisafe View your medication from Medisafe Cloud in Home Assistant. This integration adds sensors for today's upcoming, taken, skipped, and missed do

Multi-View Clustering Papers Collections for the lasted paper about multi-view clustering methods (papers, codes). There also exists some repositories

FocusFace This is the official repository of "FocusFace: Multi-task Contrastive Learning for Masked Face Recognition" accepted at IEEE International C

STEM: An approach to Multi-source Domain Adaptation with Guarantees Introduction This is the official implementation of ``STEM: An approach to Multi-s

Keepsake Version control for machine learning. Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Goo

Accelerated Multi-Modal MR Imaging with Transformers Dependencies numpy==1.18.5 scikit_image==0.16.2 torchvision==0.8.1 torch==1.7.0 runstats==1.8.0 p

Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation (CVPR2019) This is a pytorch implementatio

IttenWearBot Autori: Antonio Zizzari Simone Giglio IttenWearBot è un bot intelligente dotato di sofisticate tecniche di machile learning che aiuta gli

Creating Multi Task Models With Keras About The Project! I used the keras and Tensorflow Library, To build a Deep Learning Neural Network to Creating

Proposed a new model that can make style transfer from single style image, and allow to transfer into multiple different styles in a single model.

ShadowClone allows you to distribute your long running tasks dynamically across thousands of serverless functions and gives you the results within seconds where it would have taken hours to complete

A feature store is a data storage system for data science and machine-learning. It can store raw data and also transformed features, which can be fed straight into an ML model or training script.

Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features | paper | Official PyTorch implementation for Mul

HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images Histological Image Segmentation This

Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

TResNet: High Performance GPU-Dedicated Architecture paperV2 | pretrained models Official PyTorch Implementation Tal Ridnik, Hussam Lawen, Asaf Noy, I

Product Recognition on Store Shelves Description You can read the task description here. Report You can read and download our report here. Step A - Mu

Official Pytorch implementation of ICLR 22 paper Fast Differentiable Matrix Square Root

ThnoolBox Have you ever wanted a collection of bodged desktop apps that are Lorax themed ? No ? Sucks to suck I guess Apps & their downsides CalculaTh

Image-Captioning-on-google-cloud-platform-based-on-iot - Image Captioning on google cloud platform based on iot

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

Transformer-in-Vision Recent Transformer-based CV and related works. Welcome to comment/contribute! Keep updated. Resource SCENIC: A JAX Library for C

Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction. arxiv This repository contains python scripts for tr

PointCLIP: Point Cloud Understanding by CLIP This repository is an official implementation of the paper 'PointCLIP: Point Cloud Understanding by CLIP'

ECLARE ECLARE: Extreme Classification with Label Graph Correlations @InProceedings{Mittal21b, author = "Mittal, A. and Sachdeva, N. and Agrawal

GalaXC GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification @InProceedings{Saini21, author = {Saini, D. and Jain,

Handheld Multi-Frame Neural Depth Refinement This is the official code repository for the work: The Implicit Values of A Good Hand Shake: Handheld Mul

MADT: Offline Pre-trained Multi-Agent Decision Transformer A link to our paper can be found on Arxiv. Overview Official codebase for Offline Pre-train

Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark Project | Arxiv | YouTube | | Abstract In recent years, deep learning-based methods

X-VLM: learning multi-grained vision language alignments Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts. Yan Zeng, Xi

A python script for combining multiple native SU2 format meshes into one mesh file for multi-zone simulations.

The scope of this project will be to build a data ware house on Google Cloud Platform that will help answer common business questions as well as powering dashboards.

Promises 🔥 20 Stars and I'll fix every error that there is 50 Stars and we will

A novel Engagement Detection with Multi-Task Training (ED-MTT) system which minimizes MSE and triplet loss together to determine the engagement level of students in an e-learning environment.

TransMVSNet This repository contains the official implementation of the paper: "TransMVSNet: Global Context-aware Multi-view Stereo Network with Trans

3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers (BMVC 2021) Zai Shi*, Zhao Meng*, Yiran Xing, Yunpu Ma, Roger Wattenhofe