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/algs4
Algorithms, 4th edition textbook code and libraries
yalechang/autograd
Efficiently computes derivatives of numpy code.
yalechang/auxiliary-deep-generative-models
Deep generative models for semi-supervised learning.
yalechang/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
yalechang/cnn-benchmarks
Benchmarks for popular CNN models
yalechang/discrete_sieve
The information sieve for discrete variables.
yalechang/dl4mt-tutorial
yalechang/dl_tutorials_4th
yalechang/json-simple
A simple Java toolkit for JSON. You can use json-simple to encode or decode JSON text.
yalechang/LightGBM
LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
yalechang/lstm-odyssey
Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.
yalechang/mkl-dnn
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
yalechang/mltk
Machine Learning Tool Kit
yalechang/mxnet-seq2seq
Sequence to sequence learning with MXNET
yalechang/MXNMT
MXNet based Neural Machine Translation
yalechang/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
yalechang/nlquery
Natural Language Engine on WikiData
yalechang/nnvm
Intermediate Computational Graph Representation for Deep Learning Systems
yalechang/OpenNMT
Open-Source Neural Machine Translation in Torch
yalechang/post--misread-tsne
yalechang/real-nvp
Implementation of Real-NVP in Tensorflow
yalechang/scikit-cuda
Python interface to GPU-powered libraries
yalechang/svae
code for Structured Variational Autoencoders
yalechang/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
yalechang/tensorflow-mnist-tutorial
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
yalechang/tensorflow-white-paper-notes
Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
yalechang/tinyflow
Tutorial code on how to build your own Deep Learning System in 2k Lines
yalechang/TorchCraft
Connecting Torch to StarCraft
yalechang/universe
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
yalechang/vae_renyi_divergence
A tensorflow implementation of VAE training with Renyi divergence