169 Open source projects that are alternatives of or similar to anuvada

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

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.

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本、tf2.0版本、pytorch版本。

package lingo provides the data structures and algorithms required for natural language processing

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

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Topic modelling on financial news with Natural Language Processing

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

Implementation of character based convolutional neural network

Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

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

Test your HN title against a neural network

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

Code for Java Deep Learning Cookbook

The Entire Transcript from the Office in Tidy Format

Reuters and Bloomberg

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.

Lazy, AI chatbot service.

Hierarchical Attention Networks for document classification

Text pre-processing library for deep learning (Keras, tensorflow).

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

Adversarial Training for Neural Relation Extraction

Natural Language Processing with TensorFlow, published by Packt

An RNN-based Chinese Poem Generator

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

No description or website provided.

Terminal Assistant For SemiCode OS

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

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

Utilities for preprocessing text for deep learning with Keras

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

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.

Important paper implementations for Question Answering using PyTorch

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

A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.

Political Discourse Analysis Using Pre-Trained Word Vectors.

RETIRED - OpenSTT is now retired. If you would like more information on Mycroft AI's open source STT projects, please visit:

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

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

paribhasha.herokuapp.com/

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Automatic Text Summarization (English/Arabic).

A collection of Natural language processing pre-trained models.

NeMo: a toolkit for conversational AI

2018年机器阅读理解技术竞赛模型，国内外1000多支队伍中BLEU-4评分排名第6， ROUGE-L评分排名第14。（未ensemble，未嵌入训练好的词向量，无dropout）

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

BertQA - Attention on Steroids

Python AI assistant 🧠

A python module for English lemmatization and inflection.

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

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Very deep CNN for text classification

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

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

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

Chronic Disease Prediction Using Medical Notes