Listing arxiv - Personalized list of today's articles from ArXiv

Overview

Personalized list of today's articles from ArXiv

Print and/or send to your gmail a personalized list of today's articles published in ArXiv based on your pre-defined multiple sets of keywords. The script returns: title, abstract and the ArXiv link for each article. Entries are grouped by your pre-defined key.

Output example

image

Info

This is a very simple code that I wrote for my own personal usage. Some possible future implementations are:

  • Add information to run the code everyday automatically at a certain fixed time using crontab
  • Improve text formatting
  • Improve accessibility and user-friendliness
  • Add other options for saving the article list
  • Get the code ready to be published in PyPi

If you are willing to help, feel free to open a Pull Request and/or contact me.

How to run?

First, make sure you have Python 3+ installed and the bs4 package. If you only want to print the list and do not want to send it to your email, ignore steps 3-4 and delete/comment the last 3 rows from list_arxiv.py:

if __name__ == "__main__":
    if send:
        send_mail()
  1. Clone the repository in your computer
  2. Open user_settings.py in your editor and set the ArXiv's /new URL, a dictionary of keywords (all words must be lowercase) and your gmail. Example:
URL = "https://arxiv.org/list/astro-ph/new"

list_key = {"PHOTO-Zs":["photometric redshift", "photo-z", "photometric redshifts", "photo-zs"],
                "QUASARS":["quasar", "qso", "quasars", "qsos"],
                "HIGH-REDSHIFT UNIVERSE": ["high redshift", "high-redshift", "high-z"],
                "ML": ["machine learning", "deep learning"],
                "AGBs": ["agbs", "agb", "assymptotic giant branch"]}
  1. Install Google Client Library:
pip install --upgrade google-api-python-client
  1. In order to send the list to your email, you need to create a Google API here. Follow the instructions from here. Make sure you name the application as "Gmail API quickstart" and download the JSON file as "client_secret.json" in this directory location. Special thanks to this StackOverflow thread contributors.

  2. Run listing_arxiv.py in your terminal or IDE

  3. Now check your email inbox!

Known bugs

  • [Not tested] This code is not ready for the case when /new presents more than 1 page of entries
Owner
Lilianne Nakazono
Lilianne Nakazono
Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

Feedback Network for Image Super-Resolution [arXiv] [CVF] [Poster] Update: Our proposed Gated Multiple Feedback Network (GMFN) will appear in BMVC2019

Zhen Li 539 Jan 06, 2023
A Python script that creates subtitles of a given length from text paragraphs that can be easily imported into any Video Editing software such as FinalCut Pro for further adjustments.

Text to Subtitles - Python This python file creates subtitles of a given length from text paragraphs that can be easily imported into any Video Editin

Dmytro North 9 Dec 24, 2022
Non-Official Pytorch implementation of "Face Identity Disentanglement via Latent Space Mapping" https://arxiv.org/abs/2005.07728 Using StyleGAN2 instead of StyleGAN

Face Identity Disentanglement via Latent Space Mapping - Implement in pytorch with StyleGAN 2 Description Pytorch implementation of the paper Face Ide

Daniel Roich 58 Dec 24, 2022
(CVPR 2022) Energy-based Latent Aligner for Incremental Learning

Energy-based Latent Aligner for Incremental Learning Accepted to CVPR 2022 We illustrate an Incremental Learning model trained on a continuum of tasks

Joseph K J 37 Jan 03, 2023
Deep Sketch-guided Cartoon Video Inbetweening

Cartoon Video Inbetweening Paper | DOI | Video The source code of Deep Sketch-guided Cartoon Video Inbetweening by Xiaoyu Li, Bo Zhang, Jing Liao, Ped

Xiaoyu Li 37 Dec 22, 2022
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering

Yaoming Cai 5 Jul 18, 2022
StarGAN-ZSVC: Unofficial PyTorch Implementation

This repository is an unofficial PyTorch implementation of StarGAN-ZSVC by Matthew Baas and Herman Kamper. This repository provides both model architectures and the code to inference or train them.

Jirayu Burapacheep 11 Aug 28, 2022
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Deep High-Resolution Representation Learning for Human Pose Estimation (CVPR 2019) News [2020/07/05] A very nice blog from Towards Data Science introd

Leo Xiao 3.9k Jan 05, 2023
My implementation of Image Inpainting - A deep learning Inpainting model

Image Inpainting What is Image Inpainting Image inpainting is a restorative process that allows for the fixing or removal of unwanted parts within ima

Joshua V Evans 1 Dec 12, 2021
Face Mask Detection is a project to determine whether someone is wearing mask or not, using deep neural network.

face-mask-detection Face Mask Detection is a project to determine whether someone is wearing mask or not, using deep neural network. It contains 3 scr

amirsalar 13 Jan 18, 2022
git《Joint Entity and Relation Extraction with Set Prediction Networks》(2020) GitHub:

Joint Entity and Relation Extraction with Set Prediction Networks Source code for Joint Entity and Relation Extraction with Set Prediction Networks. W

130 Dec 13, 2022
Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

To make the comparison with Animatable NeRF easier on the Human3.6M dataset, we save the quantitative results at here, which also contains the results of other methods, including Neural Body, D-NeRF,

ZJU3DV 359 Jan 08, 2023
Convert BART models to ONNX with quantization. 3X reduction in size, and upto 3X boost in inference speed

fast-Bart Reduction of BART model size by 3X, and boost in inference speed up to 3X BART implementation of the fastT5 library (https://github.com/Ki6a

Siddharth Sharma 19 Dec 09, 2022
Code for IntraQ, PyTorch implementation of our paper under review

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization paper Requirements Python = 3.7.10 Pytorch == 1.7

1 Nov 19, 2021
Outlier Exposure with Confidence Control for Out-of-Distribution Detection

OOD-detection-using-OECC This repository contains the essential code for the paper Outlier Exposure with Confidence Control for Out-of-Distribution De

Nazim Shaikh 64 Nov 02, 2022
render sprites into your desktop environment as shaped windows using GTK

spritegtk render static or animated sprites into your desktop environment as dynamic shaped windows using GTK requires pycairo and PYGobject: pip inst

hermit 20 Oct 27, 2022
Melanoma Skin Cancer Detection using Convolutional Neural Networks and Transfer Learning🕵🏻‍♂️

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.

Vipul Shinde 1 Jan 27, 2022
DC3: A Learning Method for Optimization with Hard Constraints

DC3: A learning method for optimization with hard constraints This repository is by Priya L. Donti, David Rolnick, and J. Zico Kolter and contains the

CMU Locus Lab 57 Dec 26, 2022
The first dataset on shadow generation for the foreground object in real-world scenes.

Object-Shadow-Generation-Dataset-DESOBA Object Shadow Generation is to deal with the shadow inconsistency between the foreground object and the backgr

BCMI 105 Dec 30, 2022