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51bitquant icon 51bitquant

51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading

adc2013 icon adc2013

阿里技术嘉年华 2013 Slide PPT PDF http://adc.alibabatech.org/

agnn icon agnn

Datasets and code for AGNN

ai-edu icon ai-edu

AI education materials for Chinese students, teachers and IT professionals.

algorithm_interview_notes-chinese icon 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

c--compiler icon c--compiler

C--compiler which implements LL(1)\LR(0)\SLR\LR(1) and semantic analysis and MIPS generate

chinalist2.0 icon chinalist2.0

ChinaList2.0_Backup Chrome浏览器插件:广告净化器、广告防御者的内置规则 此为作者弃坑时的最新规则。弃坑原因:http://bbs.huorong.cn/thread-66108-1-1.html

course_codes icon course_codes

VNPY 2020 Python数字货币量化交易视频教程课程代码和资料

deep-ctr-prediction icon deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

dm icon dm

毕业设计《基于Web的图书推荐系统展示平台》

dnn_ctr icon dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

geniepath icon geniepath

A Simple Implement of GeniePath for Graph Embedding

geniepath-pytorch icon geniepath-pytorch

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

ghm_loss icon ghm_loss

The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).

graphtsne icon graphtsne

PyTorch Implementation of GraphTSNE, ICLR’19

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