学士学位论文主题-“拉脱维亚手语识别的实时计算机视觉解决方案”的应用程序。
The app for the bachelor s thesis topic - "Real-time computer vision solution for Latvian sign language recognition". (2024-05-20, Python, 0KB, 下载0次)
哥伦比亚国立大学米纳斯学院apoyo Paracursos材料
Material de apoyo para cursos, Facultad de Minas, Universidad Nacional de Colombia (2024-01-25, Python, 0KB, 下载0次)
该项目探索了美国芝加哥、纽约和华盛顿三个主要城市的自行车共享系统的相关数据...，
This project explores data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. The analysis is performed using Python, numpy, and pandas libraries to import the data and compute descriptive statistics. (2023-09-17, Python, 0KB, 下载0次)
回购“PI回来了！在贝叶斯优化中切换捕获函数”（NeurIPS:Gaussian Process Workshop 22），
Repo for "PI is back! Switching Acquisition Functions in Bayesian Optimization" (NeurIPS: Gaussian Process Workshop 22), (2022-11-04, Python, 0KB, 下载0次)
贝叶斯算法优化的室内日照分布预测机器学习模型的比较分析，
Comparative Analysis of Machine Learning Models Optimized by Bayesian Algorithm for Indoor Daylight Distribution Prediction, (2021-09-12, Python, 0KB, 下载0次)
加拿大邮政将于2022年底关闭其epost服务。不幸的是，他们没有办法批量下载所有epost...，
Canada Post is shutting down their epost service at the end of 2022. Unfortunately they don t have a way to bulk download all epost already received. This script downloads all documents to your local machine one by one. (2022-10-10, Python, 0KB, 下载0次)
求解各向异性、色散和时变材料中麦克斯韦电动力学方程的PETSc FDTD实现，
PETSc FDTD implementation for the solution of Maxwell s electrodynamic equations in anistropic, dispersive and time-varying materials, (2013-09-19, Python, 0KB, 下载0次)
我的计算机科学学士论文，在俄罗斯国家经济和公共管理总统学院撰写。，
My Bachelor s Thesis in Computer Science, written at Russian Presidential Academy of National Economy and Public Administration., (2023-08-10, Python, 0KB, 下载0次)
通过包装三个回归变量并使用PCA（用于降低维数）来进行上述预测。接受用户输入并预测价格。艾尔...，
The above prediction is made by bagging three regressors and using PCA (for reducing dimensions). Takes user input and predicts price. Also tested on 20% of available dataset. Accuracy of 88.45% achieved (2018-03-15, Python, 0KB, 下载0次)
使用神经网络对俄罗斯公司进行财务建模（估值）：TensorFlow、PyTorch和Keras。，
Financial modeling (valuation) of Russian companies using neural network: TensorFlow, PyTorch and Keras., (2019-07-02, Python, 0KB, 下载0次)
试图使用谷歌趋势、Twitter和维基百科来发现兴趣、搜索和意见之间的关系
An attempt to use Google Trends, Twitter and Wikipedia to find the relation between interest, search and opinion (2021-03-15, Python, 19KB, 下载0次)
韦斯·麦金尼。用于数据分析的Python。O Reilly Media公司。Kindle版本。第3版
McKinney, Wes. Python for Data Analysis. O Reilly Media. Kindle Edition. 3rd Ed (2022-11-29, Python, 72KB, 下载0次)
明尼阿波利斯311服务请求数据的管道编排和分析。
Pipeline orchestration and analysis of Minneapolis 311 Service Request data. (2023-04-30, Python, 602KB, 下载0次)
库诺双寡头、斯塔克伯格双寡头、对称卡特尔和民间定理的利润最大化计算器。
A profit maximization calculator for Cournot duopoly, Stackelberg duopoly, symmetric cartel, and folk theorem. (2019-07-07, Python, 2KB, 下载0次)
baal，图书馆，在您的研究或标签工作中实现贝叶斯主动学习。
Library to enable Bayesian active learning in your research or labeling work.
, (2023-04-01, Python, 23538KB, 下载0次)
rpylib，通过连续时间马尔可夫链近似对莱维驱动的SDE进行的多级蒙特卡罗模拟，
rpylib,Multilevel Monte-Carlo simulation of Lévy-driven SDEs via a Continuous-Time Markov Chain approximation , (2022-11-07, Python, 367KB, 下载0次)
python鸢尾花数据基于sklearn使用不同的机器学习分类器，包括KNN、逻辑回归、决策树、梯度提升、AdaBoost、随机森林、高斯朴素贝叶斯、多项式朴素贝叶斯、线性判别分析、二次判别分析、支持向量机
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iris_ machine_ learning_ Classifier, python iris data uses different machine learning classifiers based on sklearn, including KNN, logical regression, decision tree, gradient lifting, AdaBoost, random forest, Gauss naive Bayes, polynomial naive Bayes, linear discriminant analysis, quadratic discriminant analysis, support vector machine, (2023-01-11, Python, 203KB, 下载0次)
bayesmark，Benchmark框架，用于轻松比较真实机器学习任务上的贝叶斯优化方法，
Benchmark framework to easily compare Bayesian optimization methods on real
machine learning tasks
, (2021-06-30, Python, 184KB, 下载0次)
多种计算文本的相似度方法，如杰斯卡距离，余弦距离，编辑距离等。
There are many methods to calculate text similarity, such as Jessica distance, cosine distance, edit distance and so on. (2021-03-10, Python, 3KB, 下载0次)
对文本信息进行分类，训练和学习，利用朴素贝叶斯算法实现。
Text information on the classification, training and learning, with Naive Bayes algorithm. (2015-10-26, Python, 5KB, 下载4次)