zscwind's repositories

DeepCTR

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

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ACAM-model

It is deep recommendation model with attribute-level co-attention

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algorithm-stone

ACM/LeetCode算法竞赛路线图,最全的算法学习地图!

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awesome-knowledge-distillation

Awesome Knowledge Distillation

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Chinese_Malicious_Web_Pages_Dataset_And_Detection

中文恶意网页检测数据集与检测方法

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coding-interview-university

A complete computer science study plan to become a software engineer.

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ContinuousParetoMTL

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

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Deep-Forest

An implementation of Deep Forest 2021.2.1.

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Deep-Listwise-Context-Model-for-Ranking-Refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

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DeepMatch

A deep matching model library for recommendations & advertising. 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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DRLPytorch

Pytorch for Deep Reinforcement Learning

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euler

A distributed graph deep learning framework.

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GIB

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

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grpc-alg

grpc和一些算法

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involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

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keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

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leetcode-linghu-templete

算法面试必备,推荐刷题网站www.lintcode.com。北大学霸的《LeetCode刷题模板》+V领取: jiuzhangfeifei

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ML_Notes

机器学习算法的公式推导以及numpy实现

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multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

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MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

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neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

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paper-reading

深度学习经典、新论文逐段精读

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ReinforcemengLearningPractice

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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shap

A game theoretic approach to explain the output of any machine learning model.

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statistic

collecting books, papers and docs.

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tensorflow_practice-1

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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VirtualTaobao

Virtual-Taobao simulators with OpenAI Gym interface

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web-stable-diffusion

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

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zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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