234 Open source projects that are alternatives of or similar to pytorch-translm

Automatic Text Summarization (English/Arabic).

👄 The most accurate natural language detection library for Go, suitable for long and short text alike

A simple Flask website for all NLP tasks which includes Text Preprocessing, Keyword Extraction, Text Summarization etc. Created Date: 30 Jan 2019

The Centrifuge process, filter and saves the relevant documents as recommendations to the relevant users

The Entire Transcript from the Office in Tidy Format

Userscript that changes Clickbait headlines by headlines more honest to the news it links to.

Interpretable Models for NLP using PyTorch

📖 A curated list of resources dedicated to Natural Language Processing (NLP) in the Yoruba Language.

Language Identification Toolkit

Differentiable architecture search for convolutional and recurrent networks

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Topic modelling on financial news with Natural Language Processing

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

Keras implementation for CrossNet in paper "Cross-Target Stance Classification with Self-Attention Networks"

Kaggle Competition: Using deep learning to solve quora's question pairs problem

reimplementing Neural Summarization by Extracting Sentences and Words

KNIME - Text Processing Extension (Labs)

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

📍 🏢 🏦 🏣 🏪 🏬 LNEx: Location Name Extractor

Kex is a python library for unsupervised keyword extraction from a document, providing an easy interface and benchmarks on 15 public datasets.

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

Natural language processing in examples and games

Neural Networks for Protein Sequence Alignment

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) using Machine Learning techniques.

A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.

Official code for Group-Transformer (Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model, COLING-2020).

This is a further development of the kdnuggets article on fake news classification by George McIntyre

Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155

No description or website provided.

Very deep CNN for text classification

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow

25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions.

Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset

A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.

Question Answering System using BiDAF Model on SQuAD v2.0

Political Discourse Analysis Using Pre-Trained Word Vectors.

Statistical and Semantical Text Summarizer in Persian Language

paribhasha.herokuapp.com/

ShortText classification

Data Collection System For NLP/Speech Recognition

Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application

MozoLM: A language model (LM) serving library

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

Code accompanying our ECCV-2020 paper on 3D Neural Listeners.

A toolkit for pre-processing large source code corpora

Companion code for Introduction to Python for Data Science: Coding the Naive Bayes Algorithm evening workshop

Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"

My GitHub blog: things you might be interested, and probably not...

Easier Automatic Sentence Simplification Evaluation

CS224N 2019 Homeworks

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

Automated NLP sentiment predictions- batteries included, or use your own data