320 Open source projects that are alternatives of or similar to Natural-Language-Processing

Neural Machine Translation with Keras

Neural machine translation implementation using dynet's python bindings

A list of Neural MT implementations

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

Open-Source Neural Machine Translation in Tensorflow

An open-source tool for sequence learning in NLP built on TensorFlow.

NeMo: a toolkit for conversational AI

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Towards Neural Phrase-based Machine Translation

Memes - why so popular?

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

No description or website provided.

A tool that locates, downloads, and extracts machine translation corpora

A Deep-Learning multi-purpose chatbot made using Python3

This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.

An Open-Source Framework for Prompt-Learning.

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.

Text preprocessing tools in python.

Use-cases of Hugging Face's BERT (e.g. paraphrase generation, unsupervised extractive summarization).

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Predicting protein structure through sequence modeling

A simple ruby gem for the DeepL API

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

Question-Answering NLP model with character-level RNN (TensorFlow).

Projects and useful articles / links

Internet Delivered Treatment using Adaptive Technology

Hu:toma AI is an open source stack designed to help you create compelling conversational interfaces with little effort and above industry accuracy

Library of state-of-the-art models (PyTorch) for NLP tasks

This is a plugin to allow OmegaT to source machine translations from Tencent Cloud.

Named-Entity-Recognition Workshop

Curated list of all NLP Resources

No description or website provided.

Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in languages other than English

Sentiment Analysis: Deep Bi-LSTM+attention model

Named entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Berserker - BERt chineSE woRd toKenizER

Natural language processing (NLP) newsletter right on GitHub

Transliterating English to Hindi using Recurrent Neural Networks

Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.

英中机器文本翻译

An implementation of attention-based neural machine translation using Pytorch

Tooling to play around with multilingual machine translation for Indian Languages.

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

Presentation for IBM Community Day AI

Natural language understanding library for chatbots with intent recognition and entity extraction.

Web application providing a fully localised interface for text/website/document translation, analysis and generation powered by Apertium.

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

Starter code for the VMT task and challenge

Intelligent Word Embeddings of Free-Text Radiology Reports

Converting handwritten equations to LaTeX

Flask API to productize a document classification model. Classification model was built using Keras with tensorflow backend