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algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-recommender-systems

A curated list of awesome resources about Recommender Systems.

baidupcs-go

百度网盘客户端 - Go语言编写

baidupcs-web

caffe

Caffe: a fast open framework for deep learning.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-papers-reading-roadmap

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

deep_learning_object_detection

A paper list of object detection using deep learning.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deeplearning

深度学习相关的模型训练、评估和预测相关代码

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18个章节，50余万字。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

deeplearningbook-chinese

Deep Learning Book Chinese Translation

densecap

Dense image captioning in Torch

dien

ganhacks

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

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code

kaggle-dsb2-keras

Keras tutorial for Kaggle 2nd Annual Data Science Bowl

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-generative

Deep generative networks, coded with Keras.

layoutnet

Torch implementation for CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image"

machine-learning-with-spark-second-edition

Machine Learning with Spark - Second Edition, by Packt

machine_learning_derivation

notes of machine learning algorithm derivation

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

models

Models and examples built with TensorFlow

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

npl_class_nplyingyong

七月算法 - NPL课程 - 自然语言应用处理班 课件和源码

oreilly-book-dl4j-examples