yalechang
interested in machine learning and its applications in improving healthcare
Philips Research North AmericaCambridge MA
Pinned Repositories
adversarial-robustness-toolbox
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
computer_vision
COPDGene
Code for the COPDGene project(http://www.copdgene.org/)
fast_rgf
Multi-core implementation of Regularized Greedy Forest
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
MCVC
ICML 2017: Multiple Clustering Views from Multiple Uncertain Experts
multiview
sampling
Implementation of various Sampling Algorithms for Bayesian Inference
symnmf
yalechang.github.io
Homepage
yalechang's Repositories
yalechang/AAE_pytorch
yalechang/AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
yalechang/caffe2
Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.
yalechang/cleverhans
A library for benchmarking vulnerability to adversarial examples
yalechang/cs224n-winter17-notes
Course notes for CS224N Winter17
yalechang/cv
My YAML cv and resume.
yalechang/DanQ
A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences
yalechang/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning, with an emphasis on Natural Language Processing
yalechang/DenseNet
Code for Densely Connected Convolutional Networks (DenseNets)
yalechang/DiscoGAN-pytorch
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
yalechang/fold
Deep learning with dynamic computation graphs in TensorFlow
yalechang/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
yalechang/GMVAE
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
yalechang/lectures
Oxford Deep NLP 2017 course
yalechang/math
Stan Math Library
yalechang/models
Models built with TensorFlow
yalechang/MPIPlatform
A platform for distributed optimization expriments using OpenMPI
yalechang/Neural-Photo-Editor
A simple interface for editing natural photos with generative neural networks.
yalechang/Paddle
PArallel Distributed Deep LEarning
yalechang/pytorch
yalechang/pytorch-examples
Simple examples to introduce PyTorch
yalechang/pytorch-tutorial
tutorial for researchers to learn deep learning with pytorch.
yalechang/RecurrentHighwayNetworks
Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm
yalechang/retain
RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism
yalechang/seq2seq
A general-purpose encoder-decoder framework for Tensorflow
yalechang/tensorflow
Computation using data flow graphs for scalable machine learning
yalechang/TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
yalechang/topicsne
t-SNE experiments in pytorch
yalechang/torch-autograd
Autograd automatically differentiates native Torch code
yalechang/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.