張君瑞's repositories

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DeepIRT

It is the Deep-IRT model implemented in python3 and tensorflow1.13. Deep-IRT model extends the DKVMN model by cooperating with the IRT model.

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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。

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edm_main_algorithms

Fit EDM main algorithms on Lalilo data

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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flannel

flannel is a network fabric for containers, designed for Kubernetes

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GRU4Rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

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GRU4Rec_TensorFlow

TensorFlow implemenation of GRu4Rec model

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KerasGRU4Rec

Keras implementation of GRU4Rec session-based recommender system

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kfserving

Serverless Inferencing on Kubernetes

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Knowledge_Tracing

自适应学习模型 - 知识追踪

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kt-algos

Implementation of some popular knowledge tracing algorithms

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learner-performance-prediction

Implementation of some popular knowledge tracing algorithms

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Machine_Learning

机器学习算法经典案例

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machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

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Multi-Label-Text-Classification

About Muti-Label Text Classification Based on Neural Network.

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nlp_learning

NLP 以及相关的学习实践

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packaging

Kata Containers version 1.x packaging (for version 2.x see https://github.com/kata-containers/kata-containers).

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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Recommendation-systems-paperlist

Papers about recommendation systems that I am interested in

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RSPapers

Must-read papers on Recommender System.

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sars_tutorial

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

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SASRec

SASRec: Self-Attentive Sequential Recommendation

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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tensorflow_practice

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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TKT

Multiple Knowledge Tracing models implemented by pytorch

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