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bdds

Big Data Discovery Science (PD in R script)

caffe-deepregressionforests

Code for DeepRegressionForests

cs236_dgm

🦍 Stanford CS236 : Deep Generative Models

datamining

deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

dev_to_posts

diffgen

Differentially private data release for data mining [SIGKDD 2011] - convert a relational data set into a differentially-private version while maintaining its capability for data mining

dpweka

Differential Privacy package for WEKA

dsft

Domain Specific Feature Transfer (DSFT)

gan-sandbox

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

gcforest

Python implementation of deep forest method : gcForest

id3-decision-tree

A MATLAB implementation of the ID3 decision tree algorithm for EECS349 - Machine Learning

keras

Deep Learning for humans

keras-gan

Keras implementations of Generative Adversarial Networks.

kidney

肾病2

kidneybutler

kidneybutler_wechat

kidneynurse

machinelearning

Basic MachineLearning algorithm

neural-decision-forests

An implementation of the Deep Neural Decision Forests in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

sandbox

Play time!

sbt

sbt, the interactive build tool

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

tensorflow-models

Models built with TensorFlow

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

vis-autoencoder-tsne

Autoencoder and t-SNE dim-reduction to visualize the MNIST dataset (and others)

workflowtest