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adversarial-mt

Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"

adversarial_survey

Robustness vs Accuracy Survey on ImageNet

amf

AMF: Adaptive Matrix Factorization for Online QoS Prediction

bugredux

A test repo for bugredux

checklist

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

chroniclerj

Efficiently recording and reproducing failures in deployed applications

cleverhans

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

code-docstring-corpus

Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.

codenn

Summarizing Source Code using a Neural Attention Model - CODENN

codexglue

CodeXGLUE

conferences

Top Conference Deadlines (SE, AI, PL)

configurations

Configurations for softwares or environments (collected from web)

deepxplore

DeepXplore code release

dynamic-program-embedding

the code for three models introduced in DYNAMIC NEURAL PROGRAM EMBEDDINGS FOR PROGRAM REPAIR (ICLR 18)

elasticsearch

Open Source, Distributed, RESTful Search Engine

fairseq-zh-en

NMT for chinese-english using fairseq

good-translation-wrong-in-context

This is a repository with the data and code for the ACL 2019 paper "When a Good Translation is Wrong in Context: ..." and the EMNLP 2019 paper "Context-Aware Monolingual Repair for Neural Machine Translation"

keras

Deep Learning for humans

kibana

:bar_chart: Kibana analytics and search dashboard for Elasticsearch

lime

Lime: Explaining the predictions of any machine learning classifier

logm

Automatically exported from code.google.com/p/logm

logstash

Logstash - transport and process your logs, events, or other data

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

painv

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pinjiahe

Config files for my GitHub profile.

pinjiahe.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

pinjiahebackup.github.io

powergraph

PowerGraph: A framework for large-scale machine learning and graph computation.

smote_tune

Tuning Smote