softengers's repositories
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
awesome-AIOps
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
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
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
lihang-code
《统计学习方法》的代码实现
neural_graph_collaborative_filtering
Neural Graph Collaborative Filtering, SIGIR2019
pumpkin-book
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
roadmap.sh
Community driven roadmaps, articles and resources for developers
tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
vscode-code-runner
Code Runner for Visual Studio Code