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ctr-prediction

Sharing the CTR Prediction original paper and personal study notes

cudarray

CUDA-based NumPy

cvpr2015

data-structure-and-algorithm

Data Structure And Algorithm（常用数据结构与算法C/C++实现）

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeppy

Deep learning in Python

deeprotator

This is the code for NIPS15 paper "Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis"

deepsbir

Code for paper Sketch Me That Shoe

deepsketchhashing

Deep Sketch Hashing source code

deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

devilyuan

DevilYuan股票量化系统

dive-into-ml-system

Dive into machine learning system, start from reinventing the wheel.

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

familia

A Toolkit for Industrial Topic Modeling

fast-neural-style

Feedforward style transfer

fast-rcnn

Fast R-CNN

fauxtograph

Tools for using a variational auto-encoder for latent image encoding and generation.

feature-selection

For general feature selection

free-programming-books

:books: Freely available programming books

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

ganhacks

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

gbdt

A simple GBDT in Python

hacker-scripts

Based on a true story

hed

code for Holistically-Nested Edge Detection

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

ijcai-18-top2-single-mole-solution

复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征

ijcai-2018

ijcai-2018 top1 solution