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adversarial_text

Code for Adversarial Training Methods for Semi-Supervised Text Classification

adversarial_training_methods

Implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB dataset (without pre-training)

bigdataminer

Environ: R, RStudio, Python, Docker, Scala/Akka, Hadoop HDFS, Spark, MLib, GraphX, SparkSQL

capsule

A Capsule Implement with Pure Keras

char-cnn-text-classification-tensorflow

the implement of text understanding from scratch

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

confluent-kafka-python

Confluent's Apache Kafka Python client

cs199project

Creating a model selection algorthim for mLib in Spark

dan

Deep Averaging Networks

elmo_chin

use ELMo in chinese environment

interpretable-adv

Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.

kafka-example-in-scala

a kafka producer and consumer example in scala and java

kafka-python

Python client for Apache Kafka

keras-adversarial

Keras Generative Adversarial Networks

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-wide-n-deep

Reimplementation of Google's Wide & Deep Network in Keras

local_attention

local_attention with and without a window

models

Models and examples built with TensorFlow

pykafka

Apache Kafka client for Python; high-level & low-level consumer/producer, with great performance.

pyspark

Processing millions of lines of text, turning them into document term matrix and counting top terms with pyspark and mlib from multiple hadoop clusters and

scala-kafka

Quick up and running using Scala for Apache Kafka

scalaapacheaccesslogparser

An Apache access log parser written in Scala

sentiment-classification

simple_adversarial_examples

Repo of simple adversarial examples on vanilla neural networks trained on MNIST

spark-sql-on-hbase

Native, optimized access to HBase Data through Spark SQL/Dataframe Interfaces

sparkonhbase

SparkOnHBase

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-talk-debugging

💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)

transfer-learning-text-tf

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

vat-pytorch

Virtual Adversarial Training (VAT) implementation for pytorch