183 Open source projects that are alternatives of or similar to Conditional-SeqGAN-Tensorflow

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。

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

NeMo: a toolkit for conversational AI

Terminal Assistant For SemiCode OS

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.

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

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

Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

Implementation of paper everybody dance now for Deep learning course project

Utilities for preprocessing text for deep learning with Keras

Important paper implementations for Question Answering using PyTorch

Political Discourse Analysis Using Pre-Trained Word Vectors.

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

paribhasha.herokuapp.com/

Very deep CNN for text classification

Python AI assistant 🧠

Topic modelling on financial news with Natural Language Processing

An RNN-based Chinese Poem Generator

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

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

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

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

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

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

The Entire Transcript from the Office in Tidy Format

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

SeqGAN but with more bells and whistles

Interpretable Models for NLP using PyTorch

This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

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

Hierarchical Attention Networks for document classification

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

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

Generative Adversarial Networks in TensorFlow 2.0

Natural Language Processing with TensorFlow, published by Packt

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

Chronic Disease Prediction Using Medical Notes

Automatic Text Summarization (English/Arabic).

Implementation of character based convolutional neural network

Language Identification Toolkit

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.

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

Test your HN title against a neural network

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

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.

No description or website provided.

Code for Java Deep Learning Cookbook

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

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

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

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.

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

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

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

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.