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/andybaoxv.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
yalechang/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
yalechang/DL4NLP
Deep Learning for NLP resources
yalechang/dynet
DyNet: The Dynamic Neural Network Toolkit
yalechang/ELF
An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
yalechang/facets
Visualizations for machine learning datasets
yalechang/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit
yalechang/gae
Implementation of Graph Auto-Encoders in TensorFlow
yalechang/gpytorch
An implementation of Gaussian Processes in Pytorch
yalechang/keras-gp
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
yalechang/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
yalechang/Mixture-Models
Hierarchical Mixture of Experts,Mixture Density Neural Network
yalechang/models-1
DLTK Model Zoo
yalechang/mxnet-the-straight-dope
Much easy, so MXNet. Wow.
yalechang/nlp_tasks
Natural Language Processing Tasks and References
yalechang/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
yalechang/practical-pytorch
PyTorch tutorials using neural networks (especially RNNs) for natural language processing
yalechang/pyro
Deep universal probabilistic programming with Python and PyTorch
yalechang/pytorch-a2c-ppo-acktr
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
yalechang/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
yalechang/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
yalechang/relational-networks
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
yalechang/relax
A repository for exploring ways to generalize the REBAR gradient estimator.
yalechang/RNN-Tutorial
Recurrent Neural Networks - A Short TensorFlow Tutorial
yalechang/sonnet
TensorFlow-based neural network library
yalechang/survivalstan
Library of Stan Models for Survival Analysis
yalechang/tangent
Source-to-Source Debuggable Derivatives in Pure Python
yalechang/VIN_PyTorch_Visdom
PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.
yalechang/WassersteinGAN
yalechang/xtensor
Multi-dimensional arrays with broadcasting and lazy computing