Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Developed in 2005 by a group of developers, Django was created to handle the intensive requirements of news-oriented websites. Since then, the framework has grown into one of the most popu...
PyQt5is a very well-known GUI framework used by both Python coders and UI designers. One of its components, the PyQt package, is built around the Qt framework, which is a leading cross-platform GUI design tool for just about any kind of application. The PyQt5 package has a detailed set...
brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC". - apache/brpc
c.) Install Python packages Flaskis a micro web framework written in Python. It is classified as amicroframeworkbecause it does not require particular tools or libraries. TL;DRIt's what this app uses for the API. This app also uses the MariaDB Python Connector to connect to and communicate...
(Rashomon models), creating explanation and model multiplicities. This resulted in a novel framework called method agnostic model class reliance range (MAMCR) for identifying a unified explanation across methods for multiple models. This consensus explanation provides each feature’s importance range for...
unit tests Learn how to test in Python with Nose unit tests.kaggle-and-business-analysesIPython Notebook(s) used in kaggle competitions and business analyses.NotebookDescription titanic Predict survival on the Titanic. Learn data cleaning, exploratory data analysis, and machine learning. churn-analysi...
Soft computing framework utilizes the applications of Python for user interface and fuzzy sciences for decision making. Introduction of multiple sensors in a water distribution network generates a huge number of data matrices, which are ... J Bhardwaj,KK Gupta,R Gupta - 《Drinking Water Engineering...
The neural network was implemented with Keras, a popular deep learning framework, using a Tensorflow120back-end. The binary cross-entropy loss function was employed, which is defined as: −1N∑i=1N[yilog(yi^)+(1−yi)log(1−yi^)] ...
In their recent work, Zagheni and Weber provide a general framework to extract information from biased web data by using “difference-in-differences” as one proposed methods. This approach does not try to estimate absolute levels of real-world variables but, rather, it aims to obtain reliable...
CMAQ combines current knowledge in atmospheric science and air quality modeling with multi-processor computing techniques in an open-source framework to deliver fast, technically sound estimates of ozone, particulates, toxics, and acid deposition. ...