aliang-cn Goto Github PK

aetn

The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow

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

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

aster

Agent for Story Turn-taking using Event Representations

award

A small but complete lottery system

awesome-deep-learning-music

List of articles related to deep learning applied to music

bert

TensorFlow code and pre-trained models for BERT

bert-utils

一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算

bilibili-android-client

An unofficial bilibili client for android http://www.jianshu.com/p/f69a55b94c05 -- 该项目已停止维护！

blog

Everything about database,business.(Most for PostgreSQL).

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cat

CAT 作为服务端项目基础组件，提供了 Java, C/C++, Node.js, Python, Go 等多语言客户端，已经在美团点评的基础架构中间件框架（MVC框架，RPC框架，数据库框架，缓存框架等，消息队列，配置系统等）深度集成，为美团点评各业务线提供系统丰富的性能指标、健康状况、实时告警等。

cat-recognition-app

The repository include code for build a ML application using Flask, Tensorflow

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

clrec_v1.0

cn-machine-learning

https://cn.udacity.com/mlnd/

cogdl

CogDL: An Extensive Research Toolkit for Graphs

comirec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

coreml_ssd

An Objective-C library for using SSD object detection models with the CoreML framework.

cplusplus-_implementation_of_introduction_to_algorithms

《算法导论》第三版中算法的C++实现

cplusplusthings

C++那些事

cppprimer

:books: Solutions for C++ Primer 5th exercises.

ctai

基于深度学习的肿瘤辅助诊断系统，以图像分割为核心，利用人工智能完成肿瘤区域的识别勾画并提供肿瘤区域的特征来辅助医生进行诊断。有完整的模型构建、后端架设和前端访问功能。

cv_project

data_process

比赛常用的特征工程、类别不平衡处理方法

datastudio

ddsp-singing-vocoders

Official implementation of SawSing (ISMIR'22)

deblurgan

Image Deblurring using Generative Adversarial Networks

debtdefaultresearch

对截止至2017年7月17日的债券违约事件进行梳理归因，并寻找宏观流动性影响因素，组成数据集。运用Lasso回归进行特征提取后，输入带L2惩罚项LR、SVM、NN、GBDT、RF等机器学习模型进行违约预测，得出GBDT预测效果最好以及特征工程对线性模型预测效果具有重要性的结论。