6696 Open source projects that are alternatives of or similar to Practical Pytorch

Neural question generation using transformers

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

NLP made easy

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

Graph Convolution Network for NLP

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

A curated list of resources dedicated to Natural Language Generation (NLG)

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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.

A PyTorch implementation of GraphRel

a sklearn wrapper for Google's BERT model

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Explains nlp building blocks in a simple manner.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Oxford Deep NLP 2017 course - Practical 1: word2vec

Accelerated Text is a no-code natural language generation platform. It will help you construct document plans which define how your data is converted to textual descriptions varying in wording and structure.

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Statistics and accepted paper list of NLP conferences with arXiv link

Entity linking framework

Web scrapping and related analytics using Python tools

top 1% solution to toxic comment classification challenge on Kaggle.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Jupyter Notebooks with Deep Learning Tutorials

A neural network that transforms a design mock-up into a static website.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Machine Learning notebooks for refreshing concepts.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Natural Language Processing with TensorFlow, published by Packt

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

An NLP system for generating reading comprehension questions

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Reading list for knowledge-enhanced text generation, with a survey

Unsupervised Controllable Text Generation (Applied to text Formalization)

Tutorial: Natural Language Processing in Python

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

Tutorials for TensorFlow APIs the official documentation doesn't cover

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

The NLG tool for Finnish

Multiple implementations for abstractive text summurization , using google colab

Collection of useful data science topics along with code and articles

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

NLP in Python with Deep Learning

Github repo with tutorials to fine tune transformers for diff NLP tasks

Sequence-to-Sequence Framework in PyTorch

Chinese Poetry Generation

A news recommendation system tailored for user communities