who designed Python itself. Both the GUI framework and the language are licensed under the same Python Software Foundation (PSF) License. While the license is compatible with the GPL, it is a 'permissive' license (similar to the MIT License) that allows it to be used for proprietary applicat...
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
(Demo, Source Code) AGPL-3.0 Python/deb/Docker GNUnet - Software framework for decentralized, peer-to-peer networking. (Source Code) GPL-3.0 C Gotify - Notification server with Android and CLI clients (alternative to PushBullet). (Source Code, Clients) MIT Go/Docker Hyphanet - Anonymously ...
Click to learn the pros and cons of the top ten Python GUI Frameworks. Understand which framework is best for your application's requirements.
(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...
Welcome to this week’s programming assignment. Until now, you’ve always used numpy to build neural networks. Now we will step you through a deep learning framework that will allow you to build neural networks more easily. Machine learning frameworks like TensorFlow, PaddlePaddle, Torch, Caffe,...
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...
- connect to over 18 types of databases (SQL and "NoSQL"), query your data, visualize it and create dashboards. Everything has a URL that can be shared. Slack and HipChat integration. (Demo,Source Code)BSD-2-ClausePython Archiving and Digital Preservation (DP) ...
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...
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^)] ...