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Code for Adversarial Training Methods for Semi-Supervised Text Classification
Implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB dataset (without pre-training)
Environ: R, RStudio, Python, Docker, Scala/Akka, Hadoop HDFS, Spark, MLib, GraphX, SparkSQL
A Capsule Implement with Pure Keras
the implement of text understanding from scratch
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Confluent's Apache Kafka Python client
Creating a model selection algorthim for mLib in Spark
Deep Averaging Networks
use ELMo in chinese environment
Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
a kafka producer and consumer example in scala and java
Python client for Apache Kafka
Keras Generative Adversarial Networks
Keras implementations of Generative Adversarial Networks.
Reimplementation of Google's Wide & Deep Network in Keras
local_attention with and without a window
Models and examples built with TensorFlow
Apache Kafka client for Python; high-level & low-level consumer/producer, with great performance.
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
Quick up and running using Scala for Apache Kafka
An Apache access log parser written in Scala
Repo of simple adversarial examples on vanilla neural networks trained on MNIST
Native, optimized access to HBase Data through Spark SQL/Dataframe Interfaces
SparkOnHBase
Computation using data flow graphs for scalable machine learning
💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
Virtual Adversarial Training (VAT) implementation for pytorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.