Graph

Rethinking Graph Neural Architecture Search from Message-passing

GNAS-MP Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR2021) Getting Started 0. Prerequisites Linux NVIDIA GPU + CUDA CuDNN 1. Setup Python Environment # clone Github repo conda install git git clone https://github.com/phython96/GNAS-MP.git cd GNAS-MP # Install python environment conda env create -f environment_gpu.yml conda activate gnasmp 2. Download datasets The datasets are provided by project benchmarking-gnns, you can click here to download all the required datasets. 3. Search Architectures python scripts/search_molecules_zinc.sh [gpu_id] 4. Train & Test […]

Read more
Configuration

NetBox plugin that stores configuration diffs and checks templates compliance

NetBox plugin that deals with Cisco device configuration (collects running config from Cisco devices, indicates config changes, and checks templates compliance). A plugin for NetBox to work with running-configuration of Cisco devices. Compatible with NetBox 2.9 and higher versions only. Collect actual information from Cisco devices (running_config, version, IP addresses, etc.) and shows it on a dedicated NetBox page. Save Cisco running configuration in a local directory and display all changes with git-like diffs. Set up configuration templates for distinct […]

Read more
Automation

Duckiter will Automatically dockerize your Django projects

Duckiter Duckiter will Automatically dockerize your Django projects. Requirements : – python version : python version 3.6 or upper version – OS : – linux – MacOS – windows ( drop support ) – docker engine installed in your machine and already run through the usage of package Installation : clone project: pip install duckiter Usage : Duckiter has two individual steps: ​ 1- initialize Dockerfile ​ 2- build image from created Dockerfile To initialize Dockerfile (step 1) : in […]

Read more
Transformer

Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers

image-to-recipe-transformers Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning This is the PyTorch companion code for the paper: Amaia Salvador, Erhan Gundogdu, Loris Bazzani, and Michael Donoser. Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning. CVPR 2021 If you find this code useful in your research, please consider citing using the following BibTeX entry: @inproceedings{salvador2021revamping, title={Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning}, author={Salvador, Amaia and Gundogdu, Erhan and […]

Read more
Bot

Bot to notify when vaccine appointments are available

Vaccine Watch Bot to notify when vaccine appointments are available. Supports checking Hy-Vee, Cosentino’s stores (KC), Ball’s stores (KC), Rapid Test KC, and locations checked by VaccineSpotter (including Walmart, Walgreens, CVS, Costco). Supports sending notifications to Slack, Discord, Microsoft Teams, Twilio, and Twitter. Notifications are sent when a location has appointments. No more notifications are sent for that location until it becomes unavailable again. PRs welcome to support other clinics or notification methods. This project has no affiliation with any […]

Read more
Point Cloud

Cooperative Holistic Understanding for Visual Grounding on Point Clouds

InstanceRefer InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual ReferringThis repository is for the ICCV 2021 paper and 1st method on ScanRefer benchmark [arxiv paper]. Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Zhen Li*, Shuguang Cui If you find our work useful in your research, please consider citing: @article{yuan2021instancerefer, title={Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring}, author={Yuan, Zhihao and Yan, Xu and Liao, Yinghong and […]

Read more
Transformer

Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

LightningDOT This repository contains source code and pre-trained/fine-tuned checkpoints for NAACL 2021 paper “LightningDOT”. It currently supports fine-tuning on MSCOCO and Flickr30k. Pre-training code and a demo for FULL MSCOCO retrieval are also available. Some code in this repo is copied/modifed from UNITER and DPR. If you find the code useful for your research, please consider citing: @inproceedings{sun2021lightningdot, title={LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval}, author={Sun, Siqi and Chen, Yen-Chun and Li, Linjie and Wang, Shuohang and Fang, Yuwei […]

Read more
Serverless

Cloud-optimized, single-file archive format for pyramids of map tiles

PMTiles is a single-file archive format for tiled data. A PMTiles archive can be hosted on a commodity storage platform such as S3, and enables low-cost, zero-maintenance map applications that are “serverless” – free of a custom tile backend or third party provider. Protomaps Blog: Dynamic Maps, Static Storage Leaflet + Raster Tiles Demo – watch your network request log MapLibre GL + Vector Tiles Demo – requires MapLibre GL JS v1.14.1-rc.2 or later See also: How To Use Go […]

Read more
Configuration

Data Orchestration Platform with python

dop Design Concept DOP is designed to simplify the orchestration effort across many connected components using a configuration file without the need to write any code.We have a vision to make orchestration easier to manage and more accessible to a wider group of people. Here are some of the key design concept behind DOP, Built on top of Apache Airflow – Utilises it’s DAG capabilities with interactive GUI DAGs without code – YAML + SQL Native capabilities (SQL) – Materialisation, […]

Read more
Sort

A selection of a few algorithms used to sort or search an array in python

Sort and search algorithms This repository has some common search / sort algorithms written in python, I also included the pseudocode of each algorithm alongside the actual code. Algorithms: Search Algorithms Linear Search Binary Search Step Search Sort Algorithms Bubble Sort Insertion Sort Selection Sort Notes New algorithms will most likely not be added, the only things I may add in the near future are the advantages / disadvantages of each algorithm. GitHub https://github.com/RysteQ/Sort-and-search-algorithms    

Read more
1 … 515 516 517 518 519 … 941