brandonliang Goto Github PK

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

allennlp

An open-source NLP research library, built on PyTorch.

angular-nvd3

AngularJS directive for NVD3 reusable charting library (based on D3). Easily customize your charts via JSON API.

angulares

asciidoctor-gradle-examples

A collection of example projects that demonstrates how to use the Asciidoctor Gradle plugin

asr_punctuation_capitalization_numeral

auto-sklearn

Automated Machine Learning with scikit-learn

autobi

Automatic prosodic annotation tool written in Java.

autokeras

An AutoML system based on Keras

aws-sdk-for-java

Official mirror of the AWS SDK for Java. For more information on the AWS SDK for Java, see our web site:

benchmarks

A benchmark framework for Tensorflow

bert

TensorFlow code and pre-trained models for BERT

bert-dst

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert_fine_tuning

Work in progress for fine tuning the BERT for multi-class classification problem

brandonliang.github.io

cascading-opencsv

OpenCsv Tap for Cascading

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

cleverhans

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

code-server

VS Code in the browser

codesignal

My solutions

coms-6998-final-project

Columbia University COMS 6998 Practical Deep Learning System Performance Final Project and Report. Exploring the Time Series to Image Approach

comse6998_010_final_project

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convnet.pytorch

ConvNet training using pytorch

cover-openvpn

OpenVPN is an open source VPN daemon. This is a fork of OpenVPN for a project at Columbia University.

cpp_sandbox

cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

data-engineering-on-gcp-cheatsheet