zsommer's starred repositories

Data-Analysis

Data Science Using Python

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Java

All Algorithms implemented in Java

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zheng

基于Spring+SpringMVC+Mybatis分布式敏捷开发系统架构,提供整套公共微服务服务模块:集中权限管理(单点登录)、内容管理、支付中心、用户管理(支持第三方登录)、微信平台、存储系统、配置中心、日志分析、任务和通知等,支持服务治理、监控和追踪,努力为中小型企业打造全方位J2EE企业级开发解决方案。

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LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

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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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GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

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tf-gnn-samples

TensorFlow implementations of Graph Neural Networks

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transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

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FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

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mycode

Matlab implementation of our works on online hashing

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tianshou

An elegant PyTorch deep reinforcement learning library.

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REKCARC-TSC-UHT

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

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zju-icicles

浙江大学课程攻略共享计划

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nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

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MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

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CodingInterviews

剑指Offer——名企面试官精讲典型编程题

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JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!

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awesome-rl

Reinforcement learning resources curated

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awesome-information-retrieval

A curated list of awesome information retrieval resources

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awesome-computer-vision

A curated list of awesome computer vision resources

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awesome-holistic-3d

A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision

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DeepRec

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

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DeepCTR

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

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DeepCTR-Torch

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

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RecSys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

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acl2017-neural_end2end_am

Accompanying code for our ACL-2017 publication on Neural End-to-End Learning for Computational Argumentation Mining

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interview

📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

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Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

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awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

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Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

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