Links to publications that focus on the interpretation and analysis of in-context learning

Offical PyTorch implementation of GRAM-nets

NLP上手教程

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

A python script to generate topic label from documents.

Radial Basis Function Network - PyTorch

RBM for Topic model

Restricted Boltzmann Machines (RBMs) in PyTorch

Keras implementation for Deep Embedding Clustering (DEC)

A Variational Autoencoder (VAE) implemented in PyTorch

PyTorch implementation of DEC (Deep Embedding Clustering)

chainer implementation of Deep Embedded Clustering

Stacked Denoising AutoEncoder based on TensorFlow

pytorch implementation of stacked denoising autoencoder

Aspect-Sentiment Unification Model

Data@Night, February 15 2016. Amazon mp3 reviews dataset.

Attention based aspect extraction via pytorch

Chainer implementation of Attention-based Aspect Extraction (He et al., ACL2017)

wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译

A timeline showing the development of Generative Adversarial Networks (GAN).

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

starter from "How to Train a GAN?" at NIPS2016

A collection of small corpuses of interesting data for the creation of bots and similar stuff.

PyTorch implementation of AVITM

Deep Learning for NLP resources

A list of datasets/corpora for NLP tasks, in reverse chronological order.

各种nlp 框架（自然语言处理）集成以及使用包括 word2vec nltk textblob crf++ 等

对机器学习、概率图模型、主题模型领域一些模型进行实现，主要涉及一些近年高水平会议论文中提到的算法。