kim-seongjung Goto Github PK

artemis

Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.

asan

asan_dat

asan_data

asan_test

awesome-deep-learning-papers

The most cited deep learning papers

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

batch-normalization

Implementation of Batch Normalization Layer by Theano. Test Code with MNIST data.

batch_normalization

Batch Normalization Layer for Caffe

began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

benign_crop

benign_crop_np

benign_crop_np_2

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

caffe-tensorflow

Caffe models in TensorFlow

cam

Class Activation Mapping

chest_cancer

cifar

cnns

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cortana-intelligence-gallery-content

Tutorials and sample code shown in the Cortana Analytics Gallery (https://gallery.cortanaanalytics.com)

cs224d

DSBA Lab Seminar with cs224d @Stanford (Deep Learning for Natural Language Processing)

cuda

CUDA Hands-on training material by Jack

data_processing

datadictionary-ml

datamining

db_cosmic

Using oracle database

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

deeplearning_from_scratch

digits

Deep Learning GPU Training System