tkdo Goto Github PK

aft

AFT model tf code

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

at-config

attention_network_with_keras

An example attention network with simple dataset.

awesome-raspberry-pi-zh

树莓派(Raspberry Pi )资源大全中文版 , 包括工具、项目、镜像、资源等

bert

TensorFlow code and pre-trained models for BERT

ctr-paper-list

daily-interview

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

decryptlogin

Login some website using requests

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-retrieval

deeplearning

深度学习的相关工程

deepmcp

Deep Matching, Correlation and Prediction (DeepMCP) Model

digitalgarden

distributetensorflowexample

distribute tensorflow example

easyrec

A framework for large scale recommendation algorithms.

elasticsearch-analysis-lc-pinyin

一款运行于Elasticsearch之上的中文拼音智能分词插件，支持全拼、首字母、中文混合搜索

esp8266

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

ga-dtcdr

This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an optimized model for DTCDR ("DTCDR: A Framework for Dual-Target Cross-Domain Recommendation" in CIKM2019).

gcn

Implementation of Graph Convolutional Networks in TensorFlow

getting-started-tensorflow-java-spring

graphembedding

Implementation and experiments of graph embedding algorithms.

hbase-app

hbase上的应用测试，移动程序的典型的运算模型，协处理器测试等

hmmoe

Semi-Explicit MMoE via Heterogeneous Multi-Task Learning for Ranking Relevance

interview_internal_reference

2020年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

lcfn

Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Exploring Simple and Powerful Low-pass Graph Convolutional Network for Recommendation. 3. Self-propagation Graph Neural Network for Recommendation (TKDE).

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接