kellywzhang

Pinned Repositories

ARAE
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
Language:Python400 19 2190
adaptively_weighted_Mestimation
Code to reproduce results for "Statistical Inference with M-Estimators on Adaptively Collected Data"
Language:Python21
inference_batched_bandits
Inference for Batched Bandits
Language:Python3 4 00
kellywzhang.github.io_old
Language:HTML2 2 00
kiwi
Simple implementations of recurrent neural network architectures (in progress)
Language:Python1 3 00
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)
Language:TeX1 2 00
reading-comprehension
Implementing attentive reader model for reading comprehension tasks (entity based questions)
Language:Python94
ReadingGroup
Reading group presentations
40
SemiMNIST
Semi-supervised Learning for MNIST
Language:Python9 3 13
tensorflow_base
Saving my tensorflow code
Language:Python10

kellywzhang's Repositories

kellywzhang/reading-comprehension
Implementing attentive reader model for reading comprehension tasks (entity based questions)
Language:Python94
kellywzhang/SemiMNIST
Semi-supervised Learning for MNIST
Language:Python9 3 13
kellywzhang/ReadingGroup
Reading group presentations
40
kellywzhang/inference_batched_bandits
Inference for Batched Bandits
Language:Python3 4 00
kellywzhang/adaptively_weighted_Mestimation
Code to reproduce results for "Statistical Inference with M-Estimators on Adaptively Collected Data"
Language:Python21
kellywzhang/kellywzhang.github.io
Language:HTML20
kellywzhang/kellywzhang.github.io_old
Language:HTML2 2 00
kellywzhang/kiwi
Simple implementations of recurrent neural network architectures (in progress)
Language:Python1 3 00
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)
Language:TeX1 2 00
kellywzhang/tensorflow_base
Saving my tensorflow code
Language:Python10
kellywzhang/allennlp
An open-source NLP research library, built on PyTorch.
Language:Python
kellywzhang/DSGA-1008-Spring2017-A1
Assignment 1 for NYU 2017 sprint class Deep Learning.
Language:Jupyter Notebook
kellywzhang/GloVe
GloVe model for distributed word representation
Language:C
kellywzhang/glove.py
Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes
Language:Python2 0
kellywzhang/kneser-ney
Kneser-Ney implementation in Python
Language:Python
kellywzhang/language-style-transfer
Language:Roff
kellywzhang/learning_to_execute
Learning to Execute
Language:Lua
kellywzhang/machine-translation
Sequence to Sequence Models for Machine Translation in TensorFlow
Language:Python2 0
kellywzhang/math_learning
Learning to Discover Efficient Mathematical Identities
Language:TeX2 0
kellywzhang/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
Language:Python
kellywzhang/proper-noun-classification
RNN Model to classify proper nouns based on word alone
Language:Python
kellywzhang/pyrouge
A Python wrapper for the ROUGE summarization evaluation package
Language:Perl
kellywzhang/recitation01
Language:C
kellywzhang/spinn
SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs
Language:Python
kellywzhang/stat-nlp-nyu
Statistical Natural Language Processing at NYU
1
kellywzhang/tensorflow
Computation using data flow graphs for scalable machine learning
Language:C++
kellywzhang/trec-car-tools
Language:Java
kellywzhang/wids_datathon_2020