A complete NLP guideline for enthusiasts

Overview

NLP-NINJA

A complete guide for Natural Language Processing in Python

nlp

Table of Contents

S.No. Topic Level Meaning
1 Tokenization 🀍 Beginner
2 Stemming 🀍 Beginner
3 Lemmatization 🀍 Beginner
4 Bagofwords πŸ’› Novice
5 TF-IDF πŸ’› Novice
6 Text-processing 🧑 Learner
7 Word2vec 🧑 Learner
8 RNN πŸ’š Intermediate
9 LSTM πŸ’š Intermediate
10 GRU πŸ’š Intermediate
11 Word Embedding πŸ’™ Pro
12 Bidirectional LSTM πŸ’™ Pro
13 Encoder and Decoder πŸ’™ Pro
14 Attention Model ❀ Master
15 Transformers ❀ Master
16 BERT πŸ–€ Legend
Owner
MAINAK CHAUDHURI
Establish the new code order. 😈πŸ–₯
MAINAK CHAUDHURI
A script that automatically creates a branch name using google translation api and jira api

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67 Dec 15, 2022
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

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Neural-Machine-Translation - Implementation of revolutionary machine translation models

Neural Machine Translation Framework: PyTorch Repository contaning my implementa

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Beyond Accuracy: Behavioral Testing of NLP models with CheckList

CheckList This repository contains code for testing NLP Models as described in the following paper: Beyond Accuracy: Behavioral Testing of NLP models

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PyTorch implementation of the paper: Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding

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An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

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A relatively simple python program to generate one of those reddit text to speech videos dominating youtube.

Reddit text to speech generator A basic reddit tts video generator Current functionality Generate videos for subs based on comments,(askreddit) so rea

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Lattice methods in TensorFlow

TensorFlow Lattice TensorFlow Lattice is a library that implements constrained and interpretable lattice based models. It is an implementation of Mono

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This is a really simple text-to-speech app made with python and tkinter.

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Source code of paper "BP-Transformer: Modelling Long-Range Context via Binary Partitioning"

BP-Transformer This repo contains the code for our paper BP-Transformer: Modeling Long-Range Context via Binary Partition Zihao Ye, Qipeng Guo, Quan G

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ADCS cert template modification and ACL enumeration

Purpose This tool is designed to aid an operator in modifying ADCS certificate templates so that a created vulnerable state can be leveraged for privi

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Klexikon: A German Dataset for Joint Summarization and Simplification

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TTS is a library for advanced Text-to-Speech generation.

TTS is a library for advanced Text-to-Speech generation. It's built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed and quality. TTS comes with pretra

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Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers

beyond masking Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers The code is coming Figure 1: Pipeline of token-based pre-

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A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Splitter β €β € A PyTorch implementation of Splitter: Learning Node Representations that Capture Multiple Social Contexts (WWW 2019). Abstract Recent inte

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Using context-free grammar formalism to parse English sentences to determine their structure to help computer to better understand the meaning of the sentence.

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Pretrained Japanese BERT models

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