Pinned Repositories
ARAE
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
adaptively_weighted_Mestimation
Code to reproduce results for "Statistical Inference with M-Estimators on Adaptively Collected Data"
inference_batched_bandits
Inference for Batched Bandits
kellywzhang.github.io_old
kiwi
Simple implementations of recurrent neural network architectures (in progress)
marginal-value-of-adaptive-gradients
My notes on The Marginal Value of Adaptive Gradient Methods in Machine Learning (https://arxiv.org/pdf/1705.08292.pdf)
reading-comprehension
Implementing attentive reader model for reading comprehension tasks (entity based questions)
ReadingGroup
Reading group presentations
SemiMNIST
Semi-supervised Learning for MNIST
tensorflow_base
Saving my tensorflow code
kellywzhang's Repositories
kellywzhang/reading-comprehension
Implementing attentive reader model for reading comprehension tasks (entity based questions)
kellywzhang/SemiMNIST
Semi-supervised Learning for MNIST
kellywzhang/ReadingGroup
Reading group presentations
kellywzhang/inference_batched_bandits
Inference for Batched Bandits
kellywzhang/adaptively_weighted_Mestimation
Code to reproduce results for "Statistical Inference with M-Estimators on Adaptively Collected Data"
kellywzhang/kellywzhang.github.io
kellywzhang/kellywzhang.github.io_old
kellywzhang/kiwi
Simple implementations of recurrent neural network architectures (in progress)
kellywzhang/marginal-value-of-adaptive-gradients
My notes on The Marginal Value of Adaptive Gradient Methods in Machine Learning (https://arxiv.org/pdf/1705.08292.pdf)
kellywzhang/tensorflow_base
Saving my tensorflow code
kellywzhang/allennlp
An open-source NLP research library, built on PyTorch.
kellywzhang/DSGA-1008-Spring2017-A1
Assignment 1 for NYU 2017 sprint class Deep Learning.
kellywzhang/GloVe
GloVe model for distributed word representation
kellywzhang/glove.py
Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes
kellywzhang/kneser-ney
Kneser-Ney implementation in Python
kellywzhang/language-style-transfer
kellywzhang/learning_to_execute
Learning to Execute
kellywzhang/machine-translation
Sequence to Sequence Models for Machine Translation in TensorFlow
kellywzhang/math_learning
Learning to Discover Efficient Mathematical Identities
kellywzhang/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
kellywzhang/proper-noun-classification
RNN Model to classify proper nouns based on word alone
kellywzhang/pyrouge
A Python wrapper for the ROUGE summarization evaluation package
kellywzhang/recitation01
kellywzhang/spinn
SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs
kellywzhang/stat-nlp-nyu
Statistical Natural Language Processing at NYU
kellywzhang/tensorflow
Computation using data flow graphs for scalable machine learning
kellywzhang/trec-car-tools
kellywzhang/wids_datathon_2020