Download

Python script to automatically download from Zippyshare

Zippyshare downloader and Links Extractor Python script to automatically download from Zippyshare using Selenium package and Internet Download Manager. Download IDM from here for downloading multiple files. Run the main.py script after checking the Requirements preferrably in a virtual env. See features for usage examples. The Links will be saved in a text file which can then be imported to idm from: Tasks>Import>from text file Other option is set the START_DOWNLOADING variable to 1 in the config file which will […]

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Maps

A ninja Python package behind rgee, rgeeExtra and eemont

A ninja Python package behind rgee, rgeeExtra and eemont. Google Earth Engine is a cloud-based service for geospatial processing of vector and raster data. The Earth Engine platform has a JavaScript and a Python API with different methods to process geospatial objects. Google Earth Engine also provides a HUGE PETABYTE-SCALE CATALOG of raster and vector data that users can process online (e.g. Landsat Missions Image Collections, Sentinel Missions Image Collections, MODIS Products Image Collections, World Database of Protected Areas, etc.). […]

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Command-line Tools

view RedFlagDeals.com from the command line

RFD This is a CLI utility that allows you to view RedFlagDeals.com on the command line. Motivation It is often faster to use a CLI than to load up a web page and navigate web elements. This tool can search for deals and sort them based on score and views. It is also able to load entire threads (without pagination) for additional analysis. Installation :information_source: python2 may still work but it is no longer supported. python3 -m pip install –user […]

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Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 85: The Incredibility of MT Evaluation

This week, I will comment on a paper that quantifies and exactly measures the dimensions of the elephant in the room of machine translation: the lack of empirical support of claims in research papers on machine translation. The title of the paper is Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers, it has awill appear at this year’s ACL.uthors from NICT in Japan and was awarded as an oustanding paper ACL 2021. The authors manually annotated an […]

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NLP

Hugging Face – Issue 10 – Jun 15th 2021

Events & Talks 📗Chapter 3: Fine-tuning a pretrained model This chapter will teach you all about training NLP models. Two versions are available; one using PyTorch, showing the Trainer API and the Hugging Face Accelerate library; and the other one using TensorFlow, showing how to leverage NLP models using Keras. Join either live session to cover Chapter 3 with us! Chapter 3 — PyTorch, with Lewis (Twitter/LinkedIn): Wednesday, June 30th (8:00-9:00 UTC) Chapter 3 — PyTorch,    

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PDF

Uses PyPDF3 for reading and writing PDF files written in python

pystitcher pystitcher stitches your PDF files together, generating nice customizable bookmarks for you using a declarative input in the form of a markdown file. It is written in pure python and uses PyPDF3 for reading and writing PDF files. pystitcher is a command line tool, with very few cli options: usage: pystitcher [-h] [–version] [-v] [–cleanup | –no-cleanup] spine.md output.pdf Stitch PDF files together positional arguments: spine.md Input markdown file output.pdf Output PDF file optional arguments: -h, –help show this […]

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Machine Learning

Polygon Yolov5 with adjustments to enable polygon prediction boxes

Polygon-Yolov5 This repository is based on Ultralytics/yolov5, with adjustments to enable polygon prediction boxes. Section I. Description The codes are based on Ultralytics/yolov5, and several functions are added and modified to enable polygon prediction boxes. The modifications compared with Ultralytics/yolov5 and their brief descriptions are summarized below: data/polygon_ucas.yaml : Exemplar UCAS-AOD dataset to test the effects of polygon boxes data/images/UCAS-AOD : For the inference of polygon-yolov5s-ucas.pt models/common.py :3.1. class Polygon_NMS : Non-Maximum Suppression (NMS) module for Polygon Boxes3.2. class Polygon_AutoShape […]

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Images

A synthesized dataset for Object Shadow Generation with python

Object-Shadow-Generation-Dataset-DESOBA Object Shadow Generation is to deal with the shadow inconsistency between the foreground object and the background in a composite image, that is, generating shadow for the foreground object according to background information, to make the composite image more realistic. Our dataset DESOBA is a synthesized dataset for Object Shadow Generation. We build our dataset on the basis of Shadow-OBject Association dataset SOBA, which collects real-world images in complex scenes and provides annotated masks for object-shadow pairs. Based on […]

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AWS

EKS CDK Quick Start in Python

quickstart-eks-cdk-python This Quick Start is a reference architecture and implementation of how you can use the Cloud Development Kit (CDK) to orchestrate the Elastic Kubernetes Serivce (EKS) to quickly deploy a more complete and “production ready” Kubernetes environment on AWS. What does this Quick Start create for you: An appropriate VPC (/22 CDIR w/1024 IPs by default – though you can edit this in cluster-bootstrap/cdk.json) with public and private subnets across three availability zones. Alternatively, just flip create_new_vpc to False […]

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Transformer

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

SViTE [Preprint] “Chasing Sparsity in Vision Transformers: An End-to-End Exploration” by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang Extensive results on ImageNet with diverse ViT backbones validate the effectiveness of our proposals which obtain significantly reduced computational cost and almost unimpaired generalization. Perhaps most surprisingly, we find that the proposed sparse (co-)training can even improve the ViT accuracy rather than compromising it, making sparsity a tantalizing “free lunch”. For example, our sparsified DeiT-Small at (5%, […]

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