ruizheliuoa Goto Github PK

alpha-gan

pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).

anchored_bias_gpt2

This is the official code for anchored bias of GPT2

anuvada

Interpretable Models for NLP using PyTorch

ca-lda

A Mallet fork with support for CA-LDA described in paper: Immersive Recommendation at WWW'2016

contiguous-succotash

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

dailydialogue-parser

Parser for DailyDialogue Dataset

deep-learning-for-nlp-resources

List of resources to get started with Deep Learning for NLP.

detecting-cyberbullying-across-smps

Code for the paper 'Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms' (to appear in ECIR'18 proceedings)

drlm

A latent variable RNN model for discourse-driven language modeling

email_reply_parser

Small library to parse plain text email content

han-pytorch

(Deprecated) Hierarchical Attention Networks for Document Classification (https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf) - in Pytorch

hate-speech-and-offensive-language

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

hr-vae

Code for the paper "A Stable Variational Autoencoder for Text Modelling"

hran

jas

Code associated with our EMNLP 2013 paper, "A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication"

lda2vec

learn_dl

Deep learning algorithms source code for beginners

notes-on-dirichlet-processes

:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

nvdm

neural variational document model

pysparnn

Approximate Nearest Neighbor Search for Sparse Data in Python!

pytorch-seq2seq-intent-parsing

Intent parsing and slot filling in PyTorch with seq2seq + attention

rnn-for-joint-nlu

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

sage

Sparse Additive Generative Model of Text

secuml

Machine Learning for Computer Security

seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

starspace

Learning embeddings for classification, retrieval and ranking.

ta-seq2seq

tagger

Named Entity Recognition Tool

taja-seq2seq