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Code accompanying our EMNLP paper Learning Language Representations for Typology Prediction
Code for Structured Attention Networks https://arxiv.org/abs/1702.00887
TensorFlow Neural Machine Translation Tutorial
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Tensorflow implementation for prodLDA and NVLDA.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.
Deep Learning NLP Pipeline implemented on Tensorflow
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
Tensorflow based Neural Conversation Models
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
Network analysis of Enron Email Dataset using mapreduce and R
Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
Implementation of t-SNE visualization algorithm in Javascript.
DeepTeach - the Interactive Deep Image Classifier Builder
emoji2vec: Learning Emoji Representations from their Description