1046 Repositories
Python fast-orthogonal-search Libraries
Publish Xarray Datasets via a REST API.
Xpublish Publish Xarray Datasets via a REST API. Serverside: Publish a Xarray Dataset through a rest API ds.rest.serve(host="0.0.0.0", port=9000) Clie
API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.
This open source project serves two purposes. Collection and evaluation of a Question Answering dataset to improve existing QA/search methods - COVID-
[rewrite 중] 코로나바이러스감염증-19(COVID-19)의 국내/국외 발생 동향 조회 API | Coronavirus Infectious Disease-19 (COVID-19) outbreak trend inquiry API
COVID-19API 코로나 바이러스 감염증-19(COVID-19, SARS-CoV-2)의 국내/외 발생 동향 조회 API Corona Virus Infectious Disease-19 (COVID-19, SARS-CoV-2) outbreak trend inquiry
Sandwich Batch Normalization
Sandwich Batch Normalization Code for Sandwich Batch Normalization. Introduction We present Sandwich Batch Normalization (SaBN), an extremely easy imp
Model search is a framework that implements AutoML algorithms for model architecture search at scale
Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers speed up their exploration process for finding the right model architecture for their classification problems (i.e., DNNs with different types of layers).
Full text search for flask.
flask-msearch Installation To install flask-msearch: pip install flask-msearch # when MSEARCH_BACKEND = "whoosh" pip install whoosh blinker # when MSE
An ultra fast cross-platform multiple screenshots module in pure Python using ctypes.
Python MSS from mss import mss # The simplest use, save a screen shot of the 1st monitor with mss() as sct: sct.shot() An ultra fast cross-platfo
rewise is an unofficial wrapper for google search's auto-complete feature
rewise is an unofficial wrapper for google search's auto-complete feature
Knowledge Management for Humans using Machine Learning & Tags
HyperTag HyperTag helps humans intuitively express how they think about their files using tags and machine learning.
Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
CSE-Autoloss Designing proper loss functions for vision tasks has been a long-standing research direction to advance the capability of existing models
Knowledge Management for Humans using Machine Learning & Tags
HyperTag helps humans intuitively express how they think about their files using tags and machine learning. Represent how you think using tags. Find what you look for using semantic search for your text documents (yes, even PDF's) and images.
Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker
cookiecutter-spacy-fastapi Python cookiecutter API for quick deployments of spaCy models with FastAPI Azure Search The API interface is compatible wit
NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT
NeuralQA: A Usable Library for (Extractive) Question Answering on Large Datasets with BERT Still in alpha, lots of changes anticipated. View demo on n
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
(Framework for Adapting Representation Models) What is it? FARM makes Transfer Learning with BERT & Co simple, fast and enterprise-ready. It's built u
Super easy library for BERT based NLP models
Fast-Bert New - Learning Rate Finder for Text Classification Training (borrowed with thanks from https://github.com/davidtvs/pytorch-lr-finder) Suppor
✨Fast Coreference Resolution in spaCy with Neural Networks
✨ NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks. NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolv
Extract Keywords from sentence or Replace keywords in sentences.
FlashText This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm. Install
:mag: End-to-End Framework for building natural language search interfaces to data by utilizing Transformers and the State-of-the-Art of NLP. Supporting DPR, Elasticsearch, HuggingFace’s Modelhub and much more!
Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want
🎐 a python library for doing approximate and phonetic matching of strings.
jellyfish Jellyfish is a python library for doing approximate and phonetic matching of strings. Written by James Turk [email protected] and Michael
An easier way to build neural search on the cloud
An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. Main features: Train new vocabularies and tok
Library for fast text representation and classification.
fastText fastText is a library for efficient learning of word representations and sentence classification. Table of contents Resources Models Suppleme
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.
nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s
Fast data visualization and GUI tools for scientific / engineering applications
PyQtGraph A pure-Python graphics library for PyQt5/PyQt6/PySide2/PySide6 Copyright 2020 Luke Campagnola, University of North Carolina at Chapel Hill h
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Summary Pyroomacoustics is a software package aimed at the rapid development and testing of audio array processing algorithms. The content of the pack
A fast MDCT implementation using SciPy and FFTs
MDCT A fast MDCT implementation using SciPy and FFTs Installation As usual pip install mdct Dependencies NumPy SciPy STFT Usage import mdct spectrum
Fully featured framework for fast, easy and documented API development with Flask
Flask RestPlus IMPORTANT NOTICE: This project has been forked to Flask-RESTX and will be maintained by by the python-restx organization. Flask-RESTPlu
A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch
A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch The official pytorch implementation of the paper "Towards Faster and Stabilize
TACTO: A Fast, Flexible and Open-source Simulator for High-Resolution Vision-based Tactile Sensors
TACTO: A Fast, Flexible and Open-source Simulator for High-Resolution Vision-based Tactile Sensors This package provides a simulator for vision-based
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Darkdump - Search The Deep Web Straight From Your Terminal
Darkdump - Search The Deep Web Straight From Your Terminal About Darkdump Darkdump is a simple script written in Python3.9 in which it allows users to
A fast and easy to use, moddable, Python based Minecraft server!
PyMine PyMine - The fastest, easiest to use, Python-based Minecraft Server! Features Note: This list is not always up to date, and doesn't contain all
NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT
NeuralQA: A Usable Library for (Extractive) Question Answering on Large Datasets with BERT Still in alpha, lots of changes anticipated. View demo on n
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
(Framework for Adapting Representation Models) What is it? FARM makes Transfer Learning with BERT & Co simple, fast and enterprise-ready. It's built u
Super easy library for BERT based NLP models
Fast-Bert New - Learning Rate Finder for Text Classification Training (borrowed with thanks from https://github.com/davidtvs/pytorch-lr-finder) Suppor
✨Fast Coreference Resolution in spaCy with Neural Networks
✨ NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks. NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolv
Extract Keywords from sentence or Replace keywords in sentences.
FlashText This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm. Install
:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...
Haystack is an end-to-end framework for Question Answering & Neural search that enables you to ... ... ask questions in natural language and find gran
🎐 a python library for doing approximate and phonetic matching of strings.
jellyfish Jellyfish is a python library for doing approximate and phonetic matching of strings. Written by James Turk [email protected] and Michael
An easier way to build neural search on the cloud
An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. Main features: Train new vocabularies and tok
Library for fast text representation and classification.
fastText fastText is a library for efficient learning of word representations and sentence classification. Table of contents Resources Models Suppleme
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.
nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s
Fast data visualization and GUI tools for scientific / engineering applications
PyQtGraph A pure-Python graphics library for PyQt5/PyQt6/PySide2/PySide6 Copyright 2020 Luke Campagnola, University of North Carolina at Chapel Hill h
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
DISCONTINUATION OF PROJECT. This project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for this
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Documentations | Installation | Parameters | Python (scikit-learn) interface What's new? ThunderGBM won 2019 Best Paper Award from IEEE Transactions o
ThunderSVM: A Fast SVM Library on GPUs and CPUs
What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss
Fast and Easy Infinite Neural Networks in Python
Neural Tangents ICLR 2020 Video | Paper | Quickstart | Install guide | Reference docs | Release notes Overview Neural Tangents is a high-level neural
mlpack: a scalable C++ machine learning library --
a fast, flexible machine learning library Home | Documentation | Doxygen | Community | Help | IRC Chat Download: current stable version (3.4.2) mlpack
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
Fully featured framework for fast, easy and documented API development with Flask
Flask RestPlus IMPORTANT NOTICE: This project has been forked to Flask-RESTX and will be maintained by by the python-restx organization. Flask-RESTPlu
A Fast, Extensible Progress Bar for Python and CLI
tqdm tqdm derives from the Arabic word taqaddum (تقدّم) which can mean "progress," and is an abbreviation for "I love you so much" in Spanish (te quie
The Fast Cross-Platform Package Manager
The Fast Cross-Platform Package Manager part of mamba-org Package Manager mamba Package Server quetz Package Builder boa mamba Mamba is a reimplementa
Looks at Python code to search for things which look "dodgy" such as passwords or diffs
dodgy Dodgy is a very basic tool to run against your codebase to search for "dodgy" looking values. It is a series of simple regular expressions desig
Unbearably fast O(1) runtime type-checking in pure Python.
Look for the bare necessities, the simple bare necessities. Forget about your worries and your strife. — The Jungle Book.
Pysolr — Python Solr client
pysolr pysolr is a lightweight Python client for Apache Solr. It provides an interface that queries the server and returns results based on the query.
High level Python client for Elasticsearch
Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. It is built o
Official Python low-level client for Elasticsearch
Python Elasticsearch Client Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Py
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
(This library is available under a free and permissive license however, if you Enjoy Dear PyGui please consider becoming a Sponsor) Dear PyGui is a si
Typical: Fast, simple, & correct data-validation using Python 3 typing.
typical: Python's Typing Toolkit Introduction Typical is a library devoted to runtime analysis, inference, validation, and enforcement of Python types
A simple, fast, extensible python library for data validation.
Validr A simple, fast, extensible python library for data validation. Simple and readable schema 10X faster than jsonschema, 40X faster than schematic
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
orjson orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard j
simplejson is a simple, fast, extensible JSON encoder/decoder for Python
simplejson simplejson is a simple, fast, complete, correct and extensible JSON http://json.org encoder and decoder for Python 3.3+ with legacy suppo
Ultra fast JSON decoder and encoder written in C with Python bindings
UltraJSON UltraJSON is an ultra fast JSON encoder and decoder written in pure C with bindings for Python 3.6+. Install with pip: $ python -m pip insta
💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Fast to learn, fast to code, fast to run Django Ninja - Fast Django REST Framework Django Ninja is a web framework for building APIs with Django and P
Full-text multi-table search application for Django. Easy to install and use, with good performance.
django-watson django-watson is a fast multi-model full-text search plugin for Django. It is easy to install and use, and provides high quality search
Modular search for Django
Haystack Author: Daniel Lindsley Date: 2013/07/28 Haystack provides modular search for Django. It features a unified, familiar API that allows you to
Full text search for flask.
flask-msearch Installation To install flask-msearch: pip install flask-msearch # when MSEARCH_BACKEND = "whoosh" pip install whoosh blinker # when MSE
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
🥫 The simple, fast, and modern web scraping library
About gazpacho is a simple, fast, and modern web scraping library. The library is stable, actively maintained, and installed with zero dependencies. I
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
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
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Google Images Download Python Script for 'searching' and 'downloading' hundreds of Google images to the local hard disk! Documentation Documentation H
A fast, extensible and spec-compliant Markdown parser in pure Python.
mistletoe mistletoe is a Markdown parser in pure Python, designed to be fast, spec-compliant and fully customizable. Apart from being the fastest Comm
markdown2: A fast and complete implementation of Markdown in Python
Markdown is a light text markup format and a processor to convert that to HTML. The originator describes it as follows: Markdown is a text-to-HTML con
✅ Python web automation and testing. 🚀 Fast, easy, reliable. 💠
Build fast, reliable, end-to-end tests. SeleniumBase is a Python framework for web automation, end-to-end testing, and more. Tests are run with "pytes
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
CLIP-GLaSS Repository for the paper Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search An in-browser demo is
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning Installation
Python binding to Modest engine (fast HTML5 parser with CSS selectors).
A fast HTML5 parser with CSS selectors using Modest engine. Installation From PyPI using pip: pip install selectolax Development version from github:
A screamingly fast Python 2/3 WSGI server written in C.
bjoern: Fast And Ultra-Lightweight HTTP/1.1 WSGI Server A screamingly fast, ultra-lightweight WSGI server for CPython 2 and CPython 3, written in C us
The lightning-fast ASGI server. 🦄
The lightning-fast ASGI server. Documentation: https://www.uvicorn.org Community: https://discuss.encode.io/c/uvicorn Requirements: Python 3.6+ (For P
gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
Gunicorn Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX. It's a pre-fork worker model ported from Ruby's Unicorn project. The Gunicorn
Fast HTTP parser
httptools is a Python binding for the nodejs HTTP parser. The package is available on PyPI: pip install httptools. APIs httptools contains two classes
A modern/fast python SOAP client based on lxml / requests
Zeep: Python SOAP client A fast and modern Python SOAP client Highlights: Compatible with Python 3.6, 3.7, 3.8 and PyPy Build on top of lxml and reque
bottle.py is a fast and simple micro-framework for python web-applications.
Bottle: Python Web Framework Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module a
Async Python 3.6+ web server/framework | Build fast. Run fast.
Sanic | Build fast. Run fast. Build Docs Package Support Stats Sanic is a Python 3.6+ web server and web framework that's written to go fast. It allow
🛠️ Learn a technology X by doing a project - Search engine of project-based learning
Learn X by doing Y 🛠️ Learn a technology X by doing a project Y Website You can contribute by adding projects to the CSV file.
A Blazing fast Security Auditing tool for Kubernetes
A Blazing fast Security Auditing tool for kubernetes!! Basic Overview Kubestriker performs numerous in depth checks on kubernetes infra to identify th
Easy, fast, effective, and automatic g-code compression!
Getting to the meat of g-code. Easy, fast, effective, and automatic g-code compression! MeatPack nearly doubles the effective data rate of a standard
Search for documents in a domain through Google. The objective is to extract metadata
MetaFinder - Metadata search through Google _____ __ ___________ .__ .___ / \
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective [PDF] Wuyang Chen, Xinyu Gong, Zhangyang Wang In ICLR 2
Code for "Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search"
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search This is an implementation for our paper Contextual Non-Loca
A html canvas based screencasting server with occasional ground-truth updates via screenshots and very fast input drawing
rm2canvas A html canvas based screencasting server for the reMarkable 1/2 digital paper systems. It draws live on the canvas from the remarkables touc
A fast PostgreSQL Database Client Library for Python/asyncio.
asyncpg -- A fast PostgreSQL Database Client Library for Python/asyncio asyncpg is a database interface library designed specifically for PostgreSQL a
Jinja is a fast, expressive, extensible templating engine.
Jinja is a fast, expressive, extensible templating engine. Special placeholders in the template allow writing code similar to Python syntax.
The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
Contents Maintainer wanted Introduction Installation Documentation License History Source code Authors Maintainer wanted I am looking for a new mainta
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
🔍 Google Search unofficial API for Python with no external dependencies
Python Google Search API Unofficial Google Search API for Python. It uses web scraping in the background and is compatible with both Python 2 and 3. W