Alex-zhai

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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

paper-reading

深度学习经典、新论文逐段精读

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

charts

⚠️(OBSOLETE) Curated applications for Kubernetes

examples

TensorFlow examples

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

x-deeplearning

An industrial deep learning framework for high-dimension sparse data

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

byteps

A high performance and generic framework for distributed DNN training

CS-Books

📚 Computer Science Books 计算机技术类书籍 PDF

tencent-ml-images

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

euler

A distributed graph deep learning framework.

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

PocketFlow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

dien

deeplearning

深度学习相关的模型训练、评估和预测相关代码

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

tf_repos

TensorFlow Script

DSIN

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

tensorflow-allreduce

CTR

CTR模型代码和学习笔记总结

tensorflow2-deep-reinforcement-learning

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

AutoInt

Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

drl-rec

Deep reinforcement learning for recommendation system

rl4rs-papers

A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.