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deepstyle

Run DeepStyle (aka NeuralStyle) in the cloud

deepwalk

DeepWalk - Deep Learning for Graphs

denovochipseq

A pipeline to use de novo Chip-seq Assembly

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

dqn

Basic DQN implementation

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dsmo.course

Data Science and Matrix Optimization course

dynamic_pricing__ss2018

Repository for lecture "Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets"

eblearn

http://eblearn.sourceforge.net/

eblearn-python

Machine learning library

emotionet

A new computer vision algorithm for the recognition of AUs typically seen in most applications, their intensities, and a large number (23) of basic and compound emotion categories across databases. Additionally, images are annotated semantically with 421 emotion keywords.

epconsum

epsilon_free_inference

Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fashion-landmarks

Fashion Landmark Detection in the Wild

fashionnet

Fashion recommender system using deep learning

fashionnet-1

Keras implementation of fashionNet architecture

fashionnet-2

deep fashion CNN in Keras

fast-rcnn

Fast R-CNN

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

fast-weights

Implementation of Using Fast Weights to Attend to the Recent Past

featuretools

automated feature engineering

featuretools-docker

Use docker to provision Featuretools with a Jupyter notebook server

gactoolbox

Graph Agglomerative Clustering (GAC) toolbox

gan_lib_tensorflow

Tensorflow implemention of various GAN.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gcforest

Python implementation of deep forest method : gcForest

gcforest-1

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gcoda

gCoda: conditional dependence network inference for compositional data

gcookbook-translation

R Graphics Cookbook翻译项目文件