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Name: Hongmin Wang
Type: User
Company: University of California Santa Barbara
Bio: M.S. in CS @UCSB
Location: US
Name: Hongmin Wang
Type: User
Company: University of California Santa Barbara
Bio: M.S. in CS @UCSB
Location: US
Web interface for browsing, search and filtering recent arxiv submissions
A curated list of awesome resources for adversarial examples in deep learning
Code for "Bag-of-Words as Target for Neural Machine Translation"
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using pretrained BERT model
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.
CNNs for Sentence Classification in PyTorch
Convolutional Neural Network for Text Classification in Tensorflow
CopyNet Implementation with Tensorflow and nmt
An implementation of "Incorporating copying mechanism in sequence-to-sequence learning"
incorporating copying mechanism in sequence-to-sequence learning
A Continuous Space Neural Network Language Model based on Theano
Highly modularized implementation of popular deep RL algorithms by PyTorch
Cleaned code for paper "Natural Language Inference over Interaction Space"
Code for Describing a Knowledge Base
Deep Learning GPU Training System
Calculating ROUGE score between two files (line-by-line)
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
Implementation of Graph Auto-Encoders in TensorFlow
Generative Question Answering
Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py
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.