1269 Repositories
Python spoken-language-understanding Libraries
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
Think Big, Teach Small: Do Language Models Distil Occam’s Razor? Software related to the paper "Think Big, Teach Small: Do Language Models Distil Occa
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Evolutionary Scale Modeling This repository contains code and pre-trained weights for Transformer protein language models from Facebook AI Research, i
A Simple Long-Tailed Rocognition Baseline via Vision-Language Model
BALLAD This is the official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model. Requirements Python3 Pytorch(1.7.
Official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.
This is the official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.
A paper list of pre-trained language models (PLMs).
Large-scale pre-trained language models (PLMs) such as BERT and GPT have achieved great success and become a milestone in NLP.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
PySlowFast PySlowFast is an open source video understanding codebase from FAIR that provides state-of-the-art video classification models with efficie
Various Algorithms for Short Text Mining
Short Text Mining in Python Introduction This package shorttext is a Python package that facilitates supervised and unsupervised learning for short te
This repository contains the implementation of the paper: Federated Distillation of Natural Language Understanding with Confident Sinkhorns
Federated Distillation of Natural Language Understanding with Confident Sinkhorns This repository provides an alternative method for ensembled distill
WinPython is a portable distribution of the Python programming language for Windows
WinPython tools Copyright © 2012-2013 Pierre Raybaut Copyright © 2014-2019+ The Winpython development team https://github.com/winpython/ Licensed unde
Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
This is the codebase for the paper: Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs Directory Structur
Source Code and data for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching
Description The source code and data for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chin
LAnguage Model Analysis
LAMA: LAnguage Model Analysis LAMA is a probe for analyzing the factual and commonsense knowledge contained in pretrained language models. The dataset
Data and evaluation code for the paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER (EMNLP 2021).
Data and evaluation code for the paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER. @inproceedings{tedes
Simple programming language built on Python.
Serial Another programming language. Built on Python. Building and running program In order to run the program on serial, unfortunately you still need
An optimized prompt tuning strategy comparable to fine-tuning across model scales and tasks.
P-tuning v2 P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks An optimized prompt tuning strategy achievi
Training open neural machine translation models
Train Opus-MT models This package includes scripts for training NMT models using MarianNMT and OPUS data for OPUS-MT. More details are given in the Ma
A simple telegram bot to recognize lengthy voice files to text and vice versa with multiple language support.
Voicebot A simple Telegram bot to convert lengthy voice clips to text and vice versa with supporting languages. Mandatory Variables API_HASH - Yo
Calculator in command line using python programming language
Calculator in command line using python programming language University of the People Python fundamental Chapter 5 Conditionals and recursion The main
CupScript is a simple programing language made with python
CupScript CupScript is a simple programming language made with python It includes some basic functions, variables, loops, and some other built in func
PyTorch version repo for CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Study-CSRNet-pytorch This is the PyTorch version repo for CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Translate U is capable of translating the text present in an image from one language to the other.
Translate U is capable of translating the text present in an image from one language to the other. The app uses OCR and Google translate to identify and translate across 80+ languages.
A lightweight Python module and command-line tool for generating NATO APP-6(D) compliant military symbols from both ID codes and natural language names
Python military symbols This is a lightweight Python module, including a command-line script, to generate NATO APP-6(D) compliant military symbol icon
Haystack is an open source NLP framework that leverages Transformer models.
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
This repository containing cross-section cut and fill calculations using Python programming language.
cross-section This repository is containing cut and fill calculations for cross-section using Python programming language. This codes is made to calcu
Text-to-Speech for Belarusian language
title emoji colorFrom colorTo sdk app_file pinned Belarusian TTS 🐸 green green gradio app.py false Belarusian TTS 📢 🤖 Belarusian TTS (text-to-speec
A simple language for new programmers and a toy language ;)
Yell An extremely simple, yet powerful language for new programmers, as well as a toy language ;) Explore the docs » Report Bug · Request Feature Yell
A paper list for aspect based sentiment analysis.
Aspect-Based-Sentiment-Analysis A paper list for aspect based sentiment analysis. Survey [IEEE-TAC-20]: Issues and Challenges of Aspect-based Sentimen
My programming language named JoLang. (Mainly created for fun)
JoLang status: not ready So this is my programming language which I decided to name 'JoLang' (inspired by Jonathan and GoLang). Features I implemented
Code for text augmentation method leveraging large-scale language models
HyperMix Code for our paper GPT3Mix and conducting classification experiments using GPT-3 prompt-based data augmentation. Getting Started Installing P
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes This repository is the official implementation of Us
Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks.
Dynamic-Graphs-Construction Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Ne
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Introduction English | 简体中文 MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the correspondi
🧪 Cutting-edge experimental spaCy components and features
spacy-experimental: Cutting-edge experimental spaCy components and features This package includes experimental components and features for spaCy v3.x,
A dashboard for your Terminal written in the Python 3 language,
termDash is a handy little program, written in the Python 3 language, and is a small little dashboard for your terminal, designed to be a utility to help people, as well as helping new users get used to the terminal.
Self-Supervised Document-to-Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
Self-Supervised Document Similarity Ranking (SDR) via Contextualized Language Models and Hierarchical Inference This repo is the implementation for SD
fastai ulmfit - Pretraining the Language Model, Fine-Tuning and training a Classifier
fast.ai ULMFiT with SentencePiece from pretraining to deployment Motivation: Why even bother with a non-BERT / Transformer language model? Short answe
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Welcome to AdaptNLP A high level framework and library for running, training, and deploying state-of-the-art Natural Language Processing (NLP) models
A small project of two newbies, who wanted to learn something about Python language programming, via fun way.
HaveFun A small project of two newbies, who wanted to learn something about Python language programming, via fun way. What's this project about? Well.
jonny is a stack based programming language
jonny-lang jonny is a stack based programming language also compiling jonny files currently doesnt work on windows you can probably compile jonny file
Fried Chicken Programming Language
Fried-Chicken Fried Chicken Programming Language How To Run Once downloaded and opened, choose any file for code. Any file extensions work. Just make
State of the art faster Natural Language Processing in Tensorflow 2.0 .
tf-transformers: faster and easier state-of-the-art NLP in TensorFlow 2.0 ****************************************************************************
Create beautiful diagrams just by typing mathematical notation in plain text.
Penrose Penrose is an early-stage system that is still in development. Our system is not ready for contributions or public use yet, but hopefully will
A fast, efficient universal vector embedding utility package.
Magnitude: a fast, simple vector embedding utility library A feature-packed Python package and vector storage file format for utilizing vector embeddi
A natural language modeling framework based on PyTorch
Overview PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapi
A basic interpreted programming language written in python
shin A basic interpreted programming language written in python. extension You can use our own extension ".shin". Example: main.shin How to start Clon
Cookiecutter templates for Serverless applications using AWS SAM and the Rust programming language.
Cookiecutter SAM template for Lambda functions in Rust This is a Cookiecutter template to create a serverless application based on the Serverless Appl
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models. Solve a variety of tasks with pre-trained models or finetune them in
[BMVC'21] Official PyTorch Implementation of Grounded Situation Recognition with Transformers
Grounded Situation Recognition with Transformers Paper | Model Checkpoint This is the official PyTorch implementation of Grounded Situation Recognitio
This repo contains implementation of different architectures for emotion recognition in conversations.
Emotion Recognition in Conversations Updates 🔥 🔥 🔥 Date Announcements 03/08/2021 🎆 🎆 We have released a new dataset M2H2: A Multimodal Multiparty
BookNLP, a natural language processing pipeline for books
BookNLP BookNLP is a natural language processing pipeline that scales to books and other long documents (in English), including: Part-of-speech taggin
Convert Text-to Handwriting Using Python
Convert Text-to Handwriting Using Python Description In this project we'll use python library that's "pywhatkit" for converting text to handwriting. t
CBLang is a programming language aiming to fix most of my problems with Python
CBLang A bad programming language made in Python. CBLang is a programming language aiming to fix most of my problems with Python (this means that you
Stanza: A Python NLP Library for Many Human Languages
Official Stanford NLP Python Library for Many Human Languages
Conditional Transformer Language Model for Controllable Generation
CTRL - A Conditional Transformer Language Model for Controllable Generation Authors: Nitish Shirish Keskar, Bryan McCann, Lav Varshney, Caiming Xiong,
How to use TensorLayer
How to use TensorLayer While research in Deep Learning continues to improve the world, we use a bunch of tricks to implement algorithms with TensorLay
BERT score for text generation
BERTScore Automatic Evaluation Metric described in the paper BERTScore: Evaluating Text Generation with BERT (ICLR 2020). News: Features to appear in
NLP and Text Generation Experiments in TensorFlow 2.x / 1.x
Code has been run on Google Colab, thanks Google for providing computational resources Contents Natural Language Processing(自然语言处理) Text Classificati
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Introduction XLNet is a new unsupervised language representation learning method based on a novel generalized permutation language modeling objective.
TensorFlow code and pre-trained models for BERT
BERT ***** New March 11th, 2020: Smaller BERT Models ***** This is a release of 24 smaller BERT models (English only, uncased, trained with WordPiece
Example code for "Real-World Natural Language Processing"
Real-World Natural Language Processing This repository contains example code for the book "Real-World Natural Language Processing." AllenNLP (2.5.0 or
Resources for "Natural Language Processing" Coursera course.
Natural Language Processing course resources This github contains practical assignments for Natural Language Processing course by Higher School of Eco
nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch
nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch. Most of the models in NLP were implemented with less than 100 lines of code.(except comments or blank lines)
Transpiler for Excel formula like language to Python. Support script and module mode
Transpiler for Excel formula like language to Python. Support script and module mode (formulas are functions).
Biterm Topic Model (BTM): modeling topics in short texts
Biterm Topic Model Bitermplus implements Biterm topic model for short texts introduced by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng. Actua
A simple pygame implementation of the LOGO programming language.
LOGO-py A simple pygame implementation of the LOGO programming language. Latest Version Notes Fixed a bug where penup/pendown would not work properly.
topic modeling on unstructured data in Space news articles retrieved from the Guardian (UK) newspaper using API
NLP Space News Topic Modeling Photos by nasa.gov (1, 2, 3, 4, 5) and extremetech.com Table of Contents Project Idea Data acquisition Primary data sour
This project uses unsupervised machine learning to identify correlations between daily inoculation rates in the USA and twitter sentiment in regards to COVID-19.
Twitter COVID-19 Sentiment Analysis Members: Christopher Bach | Khalid Hamid Fallous | Jay Hirpara | Jing Tang | Graham Thomas | David Wetherhold Pro
Taichi is a parallel programming language for high-performance numerical computations.
Taichi is a parallel programming language for high-performance numerical computations.
The implementation of DeBERTa
DeBERTa: Decoding-enhanced BERT with Disentangled Attention This repository is the official implementation of DeBERTa: Decoding-enhanced BERT with Dis
A pre-trained language model for social media text in Spanish
RoBERTuito A pre-trained language model for social media text in Spanish READ THE FULL PAPER Github Repository RoBERTuito is a pre-trained language mo
This is the repository for our paper SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
SimpleTrack This is the repository for our paper SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking. We are still working on writing t
[BMVC'21] Official PyTorch Implementation of Grounded Situation Recognition with Transformers
Grounded Situation Recognition with Transformers Paper | Model Checkpoint This is the official PyTorch implementation of Grounded Situation Recognitio
A number of methods in order to perform Natural Language Processing on live data derived from Twitter
A number of methods in order to perform Natural Language Processing on live data derived from Twitter
Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU)
DocFormer - PyTorch Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for t
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
AliceMind AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab This repository provides pre-trained encode
Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).
Spanish Language Models 💃🏻 A repository part of the MarIA project. Corpora 📃 Corpora Number of documents Number of tokens Size (GB) BNE 201,080,084
Code for text augmentation method leveraging large-scale language models
HyperMix Code for our paper GPT3Mix and conducting classification experiments using GPT-3 prompt-based data augmentation. Getting Started Installing P
Eros is an expiremental programming language built using simple Python code.
Eros is an expiremental programming language built using simple Python code. Featuring an easy syntax and unique features like type slicing, the language remains an expirement that grows in down time.
Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
Language Generation with Recurrent Generative Adversarial Networks without Pre-training Code for training and evaluation of the model from "Language G
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Description Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis. Ti
Exemplary lightweight and ready-to-deploy machine learning project
Exemplary lightweight and ready-to-deploy machine learning project
A flexible submap-based framework towards spatio-temporally consistent volumetric mapping and scene understanding.
Panoptic Mapping This package contains panoptic_mapping, a general framework for semantic volumetric mapping. We provide, among other, a submap-based
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding This repo contains the data and source code for baseline models in the NeurIPS 2
An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
Python library for Serbian Natural language processing (NLP)
SrbAI - Python biblioteka za procesiranje srpskog jezika SrbAI je projekat prikupljanja algoritama i modela za procesiranje srpskog jezika u jedinstve
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
nli2paraphrases Source code repository accompanying the preprint Extracting and filtering paraphrases by bridging natural language inference and parap
Extracting knowledge graphs from language models as a diagnostic benchmark of model performance.
Interpreting Language Models Through Knowledge Graph Extraction Idea: How do we interpret what a language model learns at various stages of training?
Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
Child-Tuning Source code for EMNLP 2021 Long paper: Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. 1. Environ
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning Authors: Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, and Nig
AfriBERTa: Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages
AfriBERTa: Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages This repository contains the code for the pa
Voice helper on russian
Voice helper on russian
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
DoWhy | An end-to-end library for causal inference Amit Sharma, Emre Kiciman Introducing DoWhy and the 4 steps of causal inference | Microsoft Researc
moDel Agnostic Language for Exploration and eXplanation
moDel Agnostic Language for Exploration and eXplanation Overview Unverified black box model is the path to the failure. Opaqueness leads to distrust.
CVXPY is a Python-embedded modeling language for convex optimization problems.
CVXPY The CVXPY documentation is at cvxpy.org. We are building a CVXPY community on Discord. Join the conversation! For issues and long-form discussio
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Knock Knock A small library to get a notification when your training is complete or when it crashes during the process with two additional lines of co
Understanding Convolution for Semantic Segmentation
TuSimple-DUC by Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, and Garrison Cottrell. Introduction This repository is for Under
Python package for Turkish Language.
PyTurkce Python package for Turkish Language. Documentation: https://pyturkce.readthedocs.io. Installation pip install pyturkce Usage from pyturkce im
A combination of autoregressors and autoencoders using XLNet for sentiment analysis
A combination of autoregressors and autoencoders using XLNet for sentiment analysis Abstract In this paper sentiment analysis has been performed in or
Nateve compiler developed with python.
Adam Adam is a Nateve Programming Language compiler developed using Python. Nateve Nateve is a new general domain programming language open source ins