ranker - tedrepo/SimDial GitHub Wiki
LTR排序之pair-wise-ranknet算法TensorFlow实现 . https://www.deeplearn.me/1982.html
TensorFlow 排序,ranking . https://blog.csdn.net/noirblack/article/details/78088993
从ranknet到lamdarank,再到lamdamart https://www.cnblogs.com/dmesg/p/7891022.html
RankNet算法原理和实现 . https://x-algo.cn/index.php/2016/07/31/ranknet-algorithm-principle-and-realization/
Learning to rank基本算法小结 . https://www.jianshu.com/p/aab1bf1307fd
Learning2Rank-lambda loss解读( . https://blog.csdn.net/baroque123/article/details/87887401
NDCG及其实现 . https://blog.csdn.net/lujiandong1/article/details/77123805
深度学习在Airbnb大规模搜索排名上的实战经验 . https://cloud.tencent.com/developer/news/357942
用tensorflow学习贝叶斯个性化排序(BPR) . https://www.cnblogs.com/pinard/p/9128682.html
贝叶斯个性化排序(BPR)算法小结 https://www.cnblogs.com/pinard/p/9128682.html
tensorflow实现P@1和MRR . https://blog.csdn.net/hejunqing14/article/details/71497747
利用 TensorFlow 实现排序和搜索算法 . https://blog.csdn.net/CoderPai/article/details/78582265
Learning2Rank-lambda loss解读(1) https://blog.csdn.net/baroque123/article/details/87887401
LTR排序之pair-wise-ranknet算法TensorFlow实现 . https://www.deeplearn.me/1982.html
LTR-pointwise之prank-python代码实现 https://www.deeplearn.me/1954.html
《精通Python设计模式》一书的示例代码 . https://github.com/zhusimaji/mpdp-code
排序学习(learning to rank)中的ranknet pytorch简单实现 https://www.cnblogs.com/little-horse/p/10468311.html
Learning to rank基本算法小结 . https://www.jianshu.com/p/aab1bf1307fd
RankNet算法原理和实现 . https://x-algo.cn/index.php/2016/07/31/ranknet-algorithm-principle-and-realization/
样本打散后计算单特征 NDCG . https://www.cnblogs.com/NaughtyBaby/p/9719183.html
机器学习排序算法:RankNet to LambdaRank to LambdaMART https://www.cnblogs.com/genyuan/p/9788294.html
ndcg算法的python实现 . https://blog.csdn.net/waple_0820/article/details/52014209
gcn . https://github.com/tedrepo/gcn
i2a-tf . https://github.com/gitlimlab/i2a-tf
Imagination-Augmented-Agents . https://github.com/higgsfield/Imagination-Augmented-Agents
imagination-augmented-agents-tf . https://github.com/ASzot/imagination-augmented-agents-tf
Deep-Learning-Speech-Recognition https://github.com/AKBoles/Deep-Learning-Speech-Recognition
icm . https://github.com/takuseno/icm
/memoryGAN-Tensorflow . https://github.com/tedrepo/memoryGAN-Tensorflow