6732 Open source projects that are alternatives of or similar to Pytorch Transformers Classification

A list of NLP(Natural Language Processing) tutorials

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

The Python Code Tutorials

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Datasets, tools, and benchmarks for representation learning of code.

CNN for intent classification task in a Chatbot

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

A collection of Natural language processing pre-trained models.

Machine Learning University: Accelerated Natural Language Processing Class

Data augmentation for NLP

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Models and Pipelines for the Spark NLP library

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

General Assembly's 2015 Data Science course in Washington, DC

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Text vectorization tool to outperform TFIDF for classification tasks

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.

State of the Art Natural Language Processing

Entity linking framework

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

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 sklearn wrapper for Google's BERT model

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Official Ruby client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Ruby apps.

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

Natural Language Processing Tutorial for Deep Learning Researchers

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Your Advanced Twitter stalking tool

Accelerated deep learning R&D

Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, and at Columbia University in Fall 2020.

Materials for deep NLP course

A curated list of awesome embedding models tutorials, projects and communities.

Python implementation of TextRank for phrase extraction and summarization of text documents

Kadot, the unsupervised natural language processing library.

Educational material on using the TensorFlow Estimator framework for text classification

Official Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.

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

A news recommendation system tailored for user communities

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

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。

How to build RNNs and LSTMs from scratch with NumPy.

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Web scrapping and related analytics using Python tools

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

Important paper implementations for Question Answering using PyTorch

A PyTorch implementation of GraphRel

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

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

Machine Learning notebooks for refreshing concepts.

Graph Convolution Network for NLP

Text Classification through CNN, RNN & HAN using Keras

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

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

Jupyter Notebooks with Deep Learning Tutorials