cse-ljl,CSE_LJL,github

adversarial_personalized_ranking

Adversarial Learning, Matrix Factorization, Recommendation

att-bilstm-cnn-for-knowledge-graph-completion

Keras implementation of path-based link prediction model

awesome-cloud-papers

A collection of awesome papers about cloud computing like resource management, serverless, microservice, root cause, anomaly detection and so on.

bert

TensorFlow code and pre-trained models for BERT

bert4rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

beyond-binary-supervision-cvpr19

Official pytorch Implementation of Deep Metric Learning Beyond Binary Supervision, CVPR 2019

caser_pytorch

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

cavia

Code for "Fast Context Adaptation via Meta-Learning"

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cloudsimpy

CloudSimPy: Datacenter job scheduling simulation framework

clustering

Clustering / Subspace Clustering Algorithms on MATLAB

collaborative-deep-learning-for-recommender-systems

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

collaborative_deep_learning

Collaborative Deep Learning (CDL)

collmetric

A Tensorflow implementation of Collaborative Metric Learning (CML)

complex

Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

conmask

ConMask model described in paper Open-world Knowledge Graph Completion.

csp

CCF计算机软件能力认证往年真题

ctr_prediction

CTR prediction using FM FFM and DeepFM

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dedupe

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

deep-metric-learning-baselines

PyTorch Implementation for Deep Metric Learning Pipelines

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep_metric

Deep Metric Learning

deepctr

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

deepctr-torch

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

deepmatch

A deep matching model library for recommendations, advertising, and search. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

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