github企业镜像；学士学位论文；基于DDSP和张量流的音色转换
Mirror from github enterprise; bachelor thesis; timbre transfer with DDSP and tensorflow (2024-03-22, Jupyter Notebook, 0KB, 下载0次)
基于Windows API的地下城大规模通行自动机器人，YoloV8对象检测，OpenCV的统计方法，在Hyper-V上虚拟化的Tesseract OCR和spaCy，Win11+CUDA
Automatic Bot for Dungeons Massive Passing based on Windows API, YoloV8 object detection, statistical methods from OpenCV, Tesseract-OCR and spaCy virtualised on Hyper-V, Win11+CUDA (2024-03-11, Jupyter Notebook, 0KB, 下载0次)
（工作正在进行中）使用此React Native应用程序轻松探索和管理地下城和龙法术。无缝浏览、搜索和组织咒语。对于开发人员和D&D爱好者来说，这是一个方便的工具。
(work-in-progress) Explore and manage Dungeons & Dragons spells effortlessly with this React Native application. Browse, search, and organize spells seamlessly. A handy tool for developers and D&D enthusiasts alike. (2024-01-29, Jupyter Notebook, 0KB, 下载0次)
零售企业忠诚度成员中最可能的购买者的logistic回归模型
a logistic regression model to target the most probable buyers amongst loyalty members of a retail company (2023-12-31, Jupyter Notebook, 0KB, 下载0次)
开发该预测模型的目的是帮助电子商务企业更好地理解和预测其销售活动的财务结果。通过准确预测销售损益，企业可以就定价、库存管理和整体业务战略做出明智的决策。
The purpose of developing this predictive model is to help e-commerce businesses better understand and anticipate the financial outcomes of their sales activities. By accurately forecasting the profit and loss of sales, businesses can make informed decisions regarding pricing, inventory management, and overall business strategy. (2023-12-16, Jupyter Notebook, 0KB, 下载0次)
利用双机器学习估计（AIPTW）来确定税制改革对企业投资的影响。，
Used Double Machine Learning Estimator (AIPTW) to determine the effect (ATE) of tax reform on firm investment., (2023-10-28, Jupyter Notebook, 0KB, 下载0次)
供AI训练的中文数据集(持续更新。。。),目前的数据集餐饮行业8000问,百度知道,Alpaca中文数据集,
Chinese data set for AI training (continuously updated...), current data set for catering industry 8000, Baidu knows, Alpaca Chinese data set, (2023-09-12, Jupyter Notebook, 0KB, 下载0次)
该数据科学项目专注于构建卷积神经网络（CNN）模型，以将图像分类为不同的类别。中国...，
This data science project focuses on building a Convolutional Neural Network (CNN) model to classify images into different categories. CNNs are highly effective for image-related tasks, such as object recognition and image classification. (2023-09-11, Jupyter Notebook, 0KB, 下载0次)
TAO系统的公共存储库，结合基于OWL的本体技术和时间聚类方法来解释语义...，
Public repository for the TAO system that combines OWL-based ontological techniques and temporal clustering methods to interpret semantically meaningful high-level contexts from low-level human activity patterns. (2023-09-07, Jupyter Notebook, 0KB, 下载0次)
2011年至2016年关于企业规模和国家经济状况的调查人口普查数据，
Research Census Data on the size of businesses and state of State Economies from 2011 to 2016, (2018-03-11, Jupyter Notebook, 0KB, 下载0次)
雷休河畔普惠企业与证券交易所公牛的比较
comparaison entre la popularité d une entreprise sur les réseaux et son taux en bourse (2023-02-26, Jupyter Notebook, 0KB, 下载0次)
分析数据如何根据机构数据（大企业）回答“经济如何”的问题...
Analysis on the how data can answer the question "How s the Economy?" depending on Institutional data (Big Business) versus Individual data (Average Person) and it s impact. (2022-01-15, Jupyter Notebook, 16482KB, 下载0次)
处理数据科学问题的端到端企业级示例。
An end-to-end enterprise-grade example of working a data science problem. (2023-01-03, Jupyter Notebook, 1826KB, 下载0次)
用于在DC CDO的年度报告中生成企业数据集库存分析的代码
Code for generating the Enterprise Dataset Inventory analysis in the DC CDO s Annual Report (2019-03-18, Jupyter Notebook, 1282KB, 下载0次)
谷歌Colab管道能够使用Sentinel-2图像将风信子的季节动态分类为代理
A Google Colab pipeline to be able to classify seasonal dynamics of water hyacinth as a proxy using Sentinel-2 imagery (2021-09-15, Jupyter Notebook, 2870KB, 下载0次)
巴西电子商务企业Olist的数据分析
Data analysis about Brazilian e-commerce business Olist (2022-01-30, Jupyter Notebook, 64682KB, 下载0次)
numerical_methods_python，物理、数学和企业金融领域本科生数值分析主题的数值近似。
numerical_methods_python,Numerical approximations to undergraduate numerical analysis topics in Physics, mathematics and corporate finance. (2018-07-09, Jupyter Notebook, 842KB, 下载0次)
E-CN分类器，这是本文的可用代码“一个基于Dempster-Shafer理论和深度学习的证据分类器...
This is the available code for the paper `An evidential classifier based on Dempster-Shafer theory and deep learning (arXiv preprint arXiv:2103.13549) (2022-09-24, Jupyter Notebook, 21354KB, 下载0次)
易企|僵尸企业分类系统 2020年第十一届中国大学生服务外包创新创业大赛A09赛题——僵尸企业画像及分类 决策树、随机森林与XGBoost加权投票融合
支持Web端访问 Bootstrap+Django+PyEcharts
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YiQi ZombieCompanyClassifier, Easy Enterprise | Zombie Enterprise Classification System A09 of the 11th China University Student Service Outsourcing Innovation and Entrepreneurship Competition in 2020 - Zombie Enterprise Portrait and Classification Decision Tree, random forest and XGBoost Weighted Voting Integration Support Web Access Bootstrap+Django+PyEcharts, (2020-06-03, Jupyter Notebook, 6757KB, 下载0次)
PyTorch1.0 深度学习：60分钟入门与实战（Deep Learning with PyTorch: A 60 Minute Blitz
中文翻译与学习）
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Deep Learning with PyTorch: A 60 Minute Blitz, (2019-03-11, Jupyter Notebook, 482KB, 下载0次)