meshiguge

allennlp

An open-source NLP research library, built on PyTorch.

AREL

Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"

clarification_question_generation_pytorch

ConvE

Convolutional 2D Knowledge Graph Embeddings resources

CVDD-PyTorch

A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.

Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

DeepOneClass

Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.

Densely-Connected-CNN-with-Multiscale-Feature-Attention

Densely Connected CNN with Multi-scale Feature Attention for Text Classification

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

GuidedLDA

semi supervised guided topic model with custom guidedLDA

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Joint-Bootstrapping-Machines

Joint Bootstrapping Machines for High Confidence Relation Extraction : NAACL-HLT 2018 Long Paper.

Keras-Project-Template

A project template to simplify building and training deep learning models using Keras.

LEAM

oc-cnn

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

pytorch-pretrained-BERT

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

PyTorchText

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

SCDV

Text classification with Sparse Composite Document Vectors.

seq2seq-couplet

Play couplet with seq2seq model. 用深度学习对对联。

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

Text-Classification-Pytorch

Text classification using deep learning models in Pytorch

text_gcn

Graph Convolutional Networks for Text Classification

TextBlob

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

TextClassificationBenchmark

A Benchmark of Text Classification in PyTorch

the-elements-of-statistical-learning-notebooks

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

var-attn