List of GSoC organisations with number of times they have been selected.

Related tags

Text Data & NLPGSoCOrgFrequency
Overview

Welcome to GSoC Organisation Frequency And Details πŸ‘‹

Documentation License: MIT Github: thealphadollar GitHub Repo stars Github Repo watchers

List of GSoC organisations with number of times they have been selected, techonologies, topics, etc.

The folder /docs contains CSV files with data for each year and combined data for all years from 2009.

🏠 Homepage

Install

The application requires Python3 and pipenv.

pipenv shell --three
pipenv install

Usage

To generate the data with latest organisations, please run the following command. It is advisable to run the following command after the month of October - once archive for the year has been generated.

python3 src

Author

πŸ‘€ thealphadollar

🀝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

References

The project has been motivated from GSoC-Organisation-Scraper by @harshit698 and has used code from the same.

Show your support

Give a ⭐️ if this project helped you!

This README was generated with ❀️ by readme-md-generator

Owner
Shivam Kumar Jha
Mentor, GSoC'20 @CCExtractor GSoC '19 & GSoC '18 @CCExtractor Former Intern @wingify @ClearTax @skillbee @praja
Shivam Kumar Jha
GitHub Repository
Repository for Project Insight: NLP as a Service

Project Insight NLP as a Service Contents Introduction Features Installation Setup and Documentation Project Details Demonstration Directory Details H

Abhishek Kumar Mishra 286 Dec 06, 2022
Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge

Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge This is an implementation of the paper,

Mutian He 19 Oct 14, 2022
The following links explain a bit the idea of semantic search and how search mechanisms work by doing retrieve and rerank

Main Idea The following links explain a bit the idea of semantic search and how search mechanisms work by doing retrieve and rerank Semantic Search Re

Sergio Arnaud Gomez 2 Jan 28, 2022
Finding Label and Model Errors in Perception Data With Learned Observation Assertions

Finding Label and Model Errors in Perception Data With Learned Observation Assertions This is the project page for Finding Label and Model Errors in P

Stanford Future Data Systems 17 Oct 14, 2022
Tools, wrappers, etc... for data science with a concentration on text processing

Rosetta Tools for data science with a focus on text processing. Focuses on "medium data", i.e. data too big to fit into memory but too small to necess

207 Nov 22, 2022
πŸ€• spelling exceptions builder for lazy people

πŸ€• spelling exceptions builder for lazy people

Vlad Bokov 3 May 12, 2022
Python package for Turkish Language.

PyTurkce Python package for Turkish Language. Documentation: https://pyturkce.readthedocs.io. Installation pip install pyturkce Usage from pyturkce im

Mert Cobanov 14 Oct 09, 2022
A collection of Classical Chinese natural language processing models, including Classical Chinese related models and resources on the Internet.

GuwenModels: 叀文θ‡ͺη„Άθ―­θ¨€ε€„η†ζ¨‘εž‹εˆι›†, ζ”Άε½•δΊ’θ”η½‘δΈŠηš„ε€ζ–‡η›Έε…³ζ¨‘εž‹εŠθ΅„ζΊ. A collection of Classical Chinese natural language processing models, including Classical Chinese related models and resources on the Internet.

Ethan 66 Dec 26, 2022
Using Bert as the backbone model for lime, designed for NLP task explanation (sentence pair text classification task)

Lime Comparing deep contextualized model for sentences highlighting task. In addition, take the classic explanation model "LIME" with bert-base model

JHJu 2 Jan 18, 2022
Yomichad - a Japanese pop-up dictionary that can display readings and English definitions of Japanese words

Yomichad is a Japanese pop-up dictionary that can display readings and English definitions of Japanese words, kanji, and optionally named entities. It is similar to yomichan, 10ten, and rikaikun in s

Jonas Belouadi 7 Nov 07, 2022
Summarization module based on KoBART

KoBART-summarization Install KoBART pip install git+https://github.com/SKT-AI/KoBART#egg=kobart Requirements pytorch==1.7.0 transformers==4.0.0 pytor

seujung hwan, Jung 148 Dec 28, 2022
Takes a string and puts it through different languages in Google Translate a requested amount of times, returning nonsense.

PythonTextObfuscator Takes a string and puts it through different languages in Google Translate a requested amount of times, returning nonsense. Requi

2 Aug 29, 2022
This repository details the steps in creating a Part of Speech tagger using Trigram Hidden Markov Models and the Viterbi Algorithm without using external libraries.

POS-Tagger This repository details the creation of a Part-of-Speech tagger using Trigram Hidden Markov Models to predict word tags in a word sequence.

Raihan Ahmed 1 Dec 09, 2021
Autoregressive Entity Retrieval

The GENRE (Generative ENtity REtrieval) system as presented in Autoregressive Entity Retrieval implemented in pytorch. @inproceedings{decao2020autoreg

Meta Research 611 Dec 16, 2022
Mycroft Core, the Mycroft Artificial Intelligence platform.

Mycroft Mycroft is a hackable open source voice assistant. Table of Contents Getting Started Running Mycroft Using Mycroft Home Device and Account Man

Mycroft 6.1k Jan 09, 2023
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Multilabel time series classification with LSTM Tensorflow implementation of model discussed in the following paper: Learning to Diagnose with LSTM Re

Aaqib 552 Nov 28, 2022
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)

TOPSIS implementation in Python Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) CHING-LAI Hwang and Yoon introduced TOPSIS

Hamed Baziyad 8 Dec 10, 2022
Comprehensive-E2E-TTS - PyTorch Implementation

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultima

Keon Lee 114 Nov 13, 2022
scikit-learn wrappers for Python fastText.

skift scikit-learn wrappers for Python fastText. from skift import FirstColFtClassifier df = pandas.DataFrame([['woof', 0], ['meow', 1]], colu

Shay Palachy 233 Sep 09, 2022
Simple Annotated implementation of GPT-NeoX in PyTorch

Simple Annotated implementation of GPT-NeoX in PyTorch This is a simpler implementation of GPT-NeoX in PyTorch. We have taken out several optimization

labml.ai 101 Dec 03, 2022