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2018-java-interview

经历BATJ面试后总结的【高级Java后台开发面试指南】，纯净干货无废话，针对高频面试点

3y

3y原创技术文章导航

active-learning

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

advanced-java

😮 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务等领域知识

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

auth-control

SSM框架整合+Shiro实现简单的权限认证

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cs-notes

:books: 技术面试必备基础知识

deep-active-learning

Deep Active Learning

gcn_co-training_self-training

Implementation of Graph Convolutional Networks in TensorFlow

gconvrnn

Graph convolutional recurrent neural network

git

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-models-source-code

research about graph + code

graph_convolutional_lstm

High-Order Graph Convolutional Recurrent Neural Network

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

imgaug

Image augmentation for machine learning experiments.

interview_python

关于Python的面试题

javaedge

博客整理

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。

leetcode

Notes of coding

libact

Pool-based active learning in Python

nsfw_data_scrapper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

picgoimgs

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn

Graph Convolutional Networks in PyTorch