marcwww

-7_trojan

nsp

Neural semantic parsing, reproduced from Jiang’ work and support to Lambda DCS is implemented.

Simple-GCN-example

Simple implementation of graph convolutional neural networks within 20 lines.

struct_atten

ultra-short-binary

xv6_proj4

marcwww/Simple-GCN-example

Simple implementation of graph convolutional neural networks within 20 lines.

marcwww/nsp

Neural semantic parsing, reproduced from Jiang’ work and support to Lambda DCS is implemented.

marcwww/struct_atten

marcwww/anchor

Code for "High-Precision Model-Agnostic Explanations" paper

marcwww/finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

marcwww/Hierarchical-Sentiment

Hierarchical Models for Sentiment Analysis in Pytorch

marcwww/importance-sampling

Code for experiments regarding importance sampling for training neural networks

marcwww/langid

An simple implementation of language identification (LangID) system.

marcwww/LL

marcwww/maillard-unsupervised-tree-lstm

marcwww/man

Multinomial Adversarial Networks for Multi-Domain Text Classification

marcwww/marcwww.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

marcwww/mem_eval

marcwww/memoryGAN

Repository for our ICLR 2018 paper: memoryGAN

marcwww/models

Models and examples built with TensorFlow

marcwww/nlu_eval

marcwww/nn4nlp-code

Code Samples from Neural Networks for NLP

marcwww/OpenNMT-py

Open Source Neural Machine Translation in PyTorch

marcwww/Ordered-Neurons

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

marcwww/pytorch-ntm

Neural Turing Machines (NTM) - PyTorch Implementation

marcwww/random-memory-adaptation

Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"

marcwww/rlt

marcwww/rnn_crf_zh_seg

marcwww/SCAN

Simple language-driven navigation tasks for studying compositional learning

marcwww/SFFAI_Test

This is a test board for SFFAI AIKT

marcwww/simu_DSP

marcwww/spinn

NYU ML² work on sentence encoding with tree structure and dynamic graphs

marcwww/srnn

seq2seq version stack rnn

marcwww/unsupervised-treelstm

marcwww/uuparsing