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
Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021)

Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021) Authors: Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, Le Song Link to pap

Xinshi Chen 2 Dec 20, 2021
"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021

Inductive entity representations from text via link prediction This repository contains the code used for the experiments in the paper "Inductive enti

Daniel Daza 45 Jan 09, 2023
Space Ship Simulator using python

FlyOver Basic space-ship simulator using python How to run? Just double click run.py What modules do i need? All modules that i currently using is bui

0 Oct 09, 2022
Defending against Model Stealing via Verifying Embedded External Features

Defending against Model Stealing Attacks via Verifying Embedded External Features This is the official implementation of our paper Defending against M

20 Dec 30, 2022
'Aligned mixture of latent dynamical systems' (amLDS) for stimulus decoding probabilistic manifold alignment across animals. P. Herrero-Vidal et al. NeurIPS 2021 code.

Across-animal odor decoding by probabilistic manifold alignment (NeurIPS 2021) This repository is the official implementation of aligned mixture of la

Pedro Herrero-Vidal 3 Jul 12, 2022
This repository holds code and data for our PETS'22 article 'From "Onion Not Found" to Guard Discovery'.

From "Onion Not Found" to Guard Discovery (PETS'22) This repository holds the code and data for our PETS'22 paper titled 'From "Onion Not Found" to Gu

Lennart Oldenburg 3 May 04, 2022
The backbone CSPDarkNet of YOLOX.

YOLOX-Backbone The backbone CSPDarkNet of YOLOX. In this project, you can enjoy: CSPDarkNet-S CSPDarkNet-M CSPDarkNet-L CSPDarkNet-X CSPDarkNet-Tiny C

Jianhua Yang 9 Aug 22, 2022
Global-Local Context Network for Person Search

Global-Local Context Network for Person Search Abstract: Person search aims to jointly localize and identify a query person from natural, uncropped im

Peng Zheng 15 Oct 17, 2022
Generative Adversarial Text to Image Synthesis

Text To Image Synthesis This is a tensorflow implementation of synthesizing images. The images are synthesized using the GAN-CLS Algorithm from the pa

Hao 575 Jan 08, 2023
The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation".

Cutoff: A Simple Data Augmentation Approach for Natural Language This repository contains source code necessary to reproduce the results presented in

Dinghan Shen 49 Dec 22, 2022
Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)

V-MPO Simple code to demonstrate Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO) in Pyt

Nugroho Dewantoro 9 Jun 06, 2022
This is an official implementation for "AS-MLP: An Axial Shifted MLP Architecture for Vision".

AS-MLP architecture for Image Classification Model Zoo Image Classification on ImageNet-1K Network Resolution Top-1 (%) Params FLOPs Throughput (image

SVIP Lab 106 Dec 12, 2022
Pytorch implementation of XRD spectral identification from COD database

XRDidentifier Pytorch implementation of XRD spectral identification from COD database. Details will be explained in the paper to be submitted to NeurI

Masaki Adachi 4 Jan 07, 2023
Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

Accelerating Reinforcement Learning with Learned Skill Priors [Project Website] [Paper] Karl Pertsch1, Youngwoon Lee1, Joseph Lim1 1CLVR Lab, Universi

Cognitive Learning for Vision and Robotics (CLVR) lab @ USC 134 Dec 06, 2022
The official homepage of the COCO-Stuff dataset.

The COCO-Stuff dataset Holger Caesar, Jasper Uijlings, Vittorio Ferrari Welcome to official homepage of the COCO-Stuff [1] dataset. COCO-Stuff augment

Holger Caesar 715 Dec 31, 2022
YOLOv5🚀 reproduction by Guo Quanhao using PaddlePaddle

YOLOv5-Paddle YOLOv5 🚀 reproduction by Guo Quanhao using PaddlePaddle 支持AutoBatch 支持AutoAnchor 支持GPU Memory 快速开始 使用AIStudio高性能环境快速构建YOLOv5训练(PaddlePa

QuanHao Guo 20 Nov 14, 2022
Controlling the MicriSpotAI robot from scratch

Abstract: The SpotMicroAI project is designed to be a low cost, easily built quadruped robot. The design is roughly based off of Boston Dynamics quadr

Florian Wilk 405 Jan 05, 2023
This library is a location of the LegacyLogger for PyTorch Lightning.

neptune-contrib Documentation See neptune-contrib documentation site Installation Get prerequisites python versions 3.5.6/3.6 are supported Install li

neptune.ai 26 Oct 07, 2021
The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

Decoupled Dynamic Filter Networks This repo is the official implementation of CVPR2021 paper: "Decoupled Dynamic Filter Networks". Introduction DDF is

F.S.Fire 180 Dec 30, 2022
Mail classification with tensorflow and MS Exchange Server (ham or spam).

Mail classification with tensorflow and MS Exchange Server (ham or spam).

Metin Karatas 1 Sep 11, 2021