Pinned Repositories
blog-notebooks
An ongoing collection of jupyter notebooks on computational neuroscience, machine learning, and statistics from http://kijungyoon.github.io
compneurojc.github.io
Website for the MIT/Harvard Computational Neuroscience Journal Club
dnc
A TensorFlow implementation of the Differentiable Neural Computer.
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
jsonresume-theme-boilerplate
Boilerplate theme for JSON Resume
kijungyoon.github.io
lab homepage
learning-to-learn
Learning to Learn in TensorFlow
ml-videos
A collection of video resources for machine learning
temp
kijungyoon's Repositories
kijungyoon/blog-notebooks
An ongoing collection of jupyter notebooks on computational neuroscience, machine learning, and statistics from http://kijungyoon.github.io
kijungyoon/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
kijungyoon/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
kijungyoon/kijungyoon.github.io
lab homepage
kijungyoon/compneurojc.github.io
Website for the MIT/Harvard Computational Neuroscience Journal Club
kijungyoon/dnc
A TensorFlow implementation of the Differentiable Neural Computer.
kijungyoon/jsonresume-theme-boilerplate
Boilerplate theme for JSON Resume
kijungyoon/learning-to-learn
Learning to Learn in TensorFlow
kijungyoon/ml-videos
A collection of video resources for machine learning
kijungyoon/temp
kijungyoon/pyro
Deep universal probabilistic programming with Python and PyTorch
kijungyoon/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
kijungyoon/science_rcn
Reference implementation of a two-level RCN model
kijungyoon/sigma.js
A JavaScript library dedicated to graph drawing
kijungyoon/sonnet
TensorFlow-based neural network library
kijungyoon/tensorflow
Computation using data flow graphs for scalable machine learning
kijungyoon/Theoretical-Neuroscience-JC
kijungyoon/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow