DeepPavlov tutorials
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How to solve NLP tasks with DeepPavlov using BERT-based models
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DeepPavlov: Классификация текстов с использованием векторных представлений
How to solve NLP tasks with DeepPavlov using BERT-based models
DeepPavlov: Классификация текстов с использованием векторных представлений
langid.py readme Introduction langid.py is a standalone Language Identification (LangID) tool. The design principles are as follows: Fast Pre-trained
Random Word Generator Generates meaningful words from dictionary with given no. of letters and words. This might be useful for generating short links
前言 现在进行RBCD的攻击手段主要是搜索mS-DS-CreatorSID,如果机器的创建者是我们可控的话,那就可以修改对应机器的msDS-AllowedToActOnBehalfOfOtherIdentity,利用工具SharpAllowedToAct-Modify 那我们索性也试试搜索所有计算机
Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.
flashgeotext ⚡ 🌍 Extract and count countries and cities (+their synonyms) from text, like GeoText on steroids using FlashText, a Aho-Corasick impleme
BERT-for-Surprisal Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings
PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis
This is a speech emotion recognition app. It will allow you to train a modular MLP model with the RAVDESS dataset, and then use that model with a flask application to predict the speech emotion of an
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation This is the official PyTorch implementation
Flaxformer: transformer architectures in JAX/Flax Flaxformer is a transformer library for primarily NLP and multimodal research at Google. It is used
8bit breadboard computer simulator This is an assembler + simulator/emulator of Ben Eater's 8bit breadboard computer. For a version with its RAM upgra
Python-Dictionary This program is used to translate english words to portuguese. Web-Scraping This program use BeautifulSoap to make web scraping, so
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Figure 1: Performance of SegFormer-B0 to SegFormer-B5. Project page
title emoji colorFrom colorTo sdk app_file pinned Belarusian TTS 🐸 green green gradio app.py false Belarusian TTS 📢 🤖 Belarusian TTS (text-to-speec
cc_net Tools to download and clean Common Crawl as introduced in our paper CCNet. If you found these resources useful, please consider citing: @inproc
TOM RHYMER Library for Russian imprecise rhymes generation. Quick Start Generate rhymes by any given rhyme scheme (aabb, abab, aaccbb, etc ...): from
Fast-Bert New - Learning Rate Finder for Text Classification Training (borrowed with thanks from https://github.com/davidtvs/pytorch-lr-finder) Suppor
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minnn by Graham Neubig, Zhisong Zhang, and Divyansh Kaushik This is an exercise in developing a minimalist neural network toolkit for NLP, part of Car
Text-to-speech-with-GUI Text to speech converter with GUI made in Python. To run this download the zip file and run the main file or clone this repo.