1829 Repositories
Python paper-crawler Libraries
Web crawling framework based on asyncio.
Web crawling framework for everyone. Written with asyncio, uvloop and aiohttp. Requirements Python3.5+ Installation pip install gain pip install uvloo
Incredibly fast crawler designed for OSINT.
Photon Incredibly fast crawler designed for OSINT. Photon Wiki • How To Use • Compatibility • Photon Library • Contribution • Roadmap Key Features Dat
Web scraping library and command-line tool for text discovery and extraction (main content, metadata, comments)
trafilatura: Web scraping tool for text discovery and retrieval Description Trafilatura is a Python package and command-line tool which seamlessly dow
Async Python 3.6+ web scraping micro-framework based on asyncio
Ruia 🕸️ Async Python 3.6+ web scraping micro-framework based on asyncio. ⚡ Write less, run faster. Overview Ruia is an async web scraping micro-frame
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
AutoScraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python This project is made for automatic web scraping to make scraping easy. It
Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Django and Vue.js
Gerapy Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Documentation Documentation
News, full-text, and article metadata extraction in Python 3. Advanced docs:
Newspaper3k: Article scraping & curation Inspired by requests for its simplicity and powered by lxml for its speed: "Newspaper is an amazing python li
Scrapy, a fast high-level web crawling & scraping framework for Python.
Scrapy Overview Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pag
scrapes medias, likes, followers, tags and all metadata. Inspired by instagram-php-scraper,bot
instagram_scraper This is a minimalistic Instagram scraper written in Python. It can fetch media, accounts, videos, comments etc. `Comment` and `Like`
PyTorch code for the paper: FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning This is the PyTorch implementation of our paper: FeatMatch: Feature-Based Augmentat
Code for the paper Learning the Predictability of the Future
Learning the Predictability of the Future Code from the paper Learning the Predictability of the Future. Website of the project in hyperfuture.cs.colu
This is the code for the paper "Contrastive Clustering" (AAAI 2021)
Contrastive Clustering (CC) This is the code for the paper "Contrastive Clustering" (AAAI 2021) Dependency python=3.7 pytorch=1.6.0 torchvision=0.8
Official TensorFlow code for the forthcoming paper
~ Efficient-CapsNet ~ Are you tired of over inflated and overused convolutional neural networks? You're right! It's time for CAPSULES :)
Discover hidden deepweb pages
DeepWeb Scapper Att: Demo version An simple script to scrappe deepweb to find pages. Will return if any of those exists and will save on a file. You s
Code for ACM MM 2020 paper "NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination"
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination The offical implementation for the "NOH-NMS: Improving Pedestrian Detection by
PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
FullSubNet This Git repository for the official PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech E
A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.
Exploring simple siamese representation learning This is a PyTorch re-implementation of the SimSiam paper on ImageNet dataset. The results match that
Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Official PyTorch implementation for paper Context Matters: Gra
Official implementation of AAAI-21 paper "Label Confusion Learning to Enhance Text Classification Models"
Description: This is the official implementation of our AAAI-21 accepted paper Label Confusion Learning to Enhance Text Classification Models. The str
Code of paper: A Recurrent Vision-and-Language BERT for Navigation
Recurrent VLN-BERT Code of the Recurrent-VLN-BERT paper: A Recurrent Vision-and-Language BERT for Navigation Yicong Hong, Qi Wu, Yuankai Qi, Cristian
Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166
Region Proportion Regularized Inference (RePRI) for Few-Shot Segmentation In this repo, we provide the code for our paper : "Few-Shot Segmentation Wit
Python wrapper for Wikipedia
Wikipedia API Wikipedia-API is easy to use Python wrapper for Wikipedias' API. It supports extracting texts, sections, links, categories, translations
An api, written in Python, for Investopedia's paper trading stock simulator.
investopedia-trading-api An API, written in Python, for Investopedia's paper trading stock simulator. Pull requests welcome. This library is now Pytho
Every web site provides APIs.
Toapi Overview Toapi give you the ability to make every web site provides APIs. Version v2.0.0, Completely rewrote. More elegant. More pythonic v1.0.0
News, full-text, and article metadata extraction in Python 3. Advanced docs:
Newspaper3k: Article scraping & curation Inspired by requests for its simplicity and powered by lxml for its speed: "Newspaper is an amazing python li
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Regularized Greedy Forest Regularized Greedy Forest (RGF) is a tree ensemble machine learning method described in this paper. RGF can deliver better r
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
Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125
Albumentations Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to inc
A Powerful Spider(Web Crawler) System in Python.
pyspider A Powerful Spider(Web Crawler) System in Python. Write script in Python Powerful WebUI with script editor, task monitor, project manager and