1706 Open source projects that are alternatives of or similar to Easy Deep Learning With Allennlp

A collection of Natural language processing pre-trained models.

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

A curated list of awesome Distributed Deep Learning resources.

💫 Industrial-strength Natural Language Processing (NLP) in Python

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

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

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

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

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.

All the slides, accompanying code and exercises all stored in this repo. 🎈

ByteNet for character-level language modelling

How to use TensorLayer

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

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.

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

Machine Learning notebooks for refreshing concepts.

A Model for Natural Language Attack on Text Classification and Inference

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

Experimental keras implementation of novel neural network structures

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Notes on Deep Reinforcement Learning for Natural Language Processing papers

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Named Entity Recognition using multilayered bidirectional LSTM

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

An evolving guide to learning Deep Learning effectively.

Machine reading comprehension on clinical case reports

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

Kadot, the unsupervised natural language processing library.

State of the Art Natural Language Processing

Text vectorization tool to outperform TFIDF for classification tasks

Русскоязычный чатбот

Dilated CNNs for NER in TensorFlow

Implementation of character based convolutional neural network

Accelerated deep learning R&D

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

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

A curated list of awesome awesomeness about artificial intelligence

⏰ AI conference deadline countdowns

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

Deep neural models for core NLP tasks (Pytorch version)

RMDL: Random Multimodel Deep Learning for Classification

Keras tutorial for beginners (using TF backend)

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.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

The Python Code Tutorials

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

👑 spaCy building blocks and visualizers for Streamlit apps

Visualizing RNNs using the attention mechanism

DeepFaceLab is the leading software for creating deepfakes.

Implementation of Quickdraw - an online game developed by Google

A tool for learning vector representations of words and entities from Wikipedia

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

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Resources for learning about Text Mining and Natural Language Processing

Natural Language Processing Best Practices & Examples

Descriptive Deep Learning