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Recommender Learning with Tensorflow2.x
neural-network afm python3 matrix-factorization recommender-system fm ffm ctr-prediction criteo dcn factorization-machine deepfm ncf xdeepfm pnn nfm deepcross tensorflow2 widedeep
Factorization Machine models in PyTorch
pytorch collaborative-filtering factorization-machines fm movielens-dataset ffm ctr-prediction dcn deepfm neural-collaborative-filtering xdeepfm pnn nfm autoint fnfm criteo-dataset avazu-dataset hofm
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
machine-learning deep-learning recommender-system mind ctr-prediction dcn din dssm deepfm ple xdeepfm pnn autoint esmm fibinet dsin mmoe edcn masknet pepnet
detector for rotated-object based on CenterNet/基于CenterNet的旋转目标检测
CTR模型代码和学习笔记总结
afm tensorflow frappe recommendation-algorithms fm ffm wide-and-deep ctr-prediction dcn deepfm fnn xdeepfm deepinterestnetwork pnn nfm deep-cross fibinet
Don't feel pain to use Deformable Convolution
deep-learning cnn pytorch segmentation convolutional-neural-networks object-detection dcn deformable-convolutional-networks dcnv2 deformable-convolution dcnv1 pytorch-deformable-convolution pytorch-deformable-convolution-v2
主流推荐系统Rank算法的实现
deep-learning afm ranking recommendation bst ffm wide-and-deep ctr dcn din deepfm ple xdeepfm pnn nfm esmm fibinet mmoe deepcrossing
NetOpsBench: Open Arena for Agentic NetOps in AI Infrastructure
A easy library for recommendation system or computational advertising
dnn deepwalk knowledge-graph recommendation-system fm ffm ctr cvr dcn node2vec din graph-embedding deepfm computational-advertising xdeepfm nfm autoint fgcnn nnfm
Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.
Web application for the management of Dynamic Circuits Networks (DCNs)
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