A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...

Python Physics: Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results ...

Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...

AI tools like Google’s Veo 3 and Runway can now create strikingly realistic video. WSJ’s Joanna Stern and Jarrard Cole put them to the test in a film made almost entirely with AI. Watch the film and ...

Background: Patients with persistent atrial fibrillation (PsAF) exhibit a high recurrence rate following catheter ablation, and there is a lack of individualized prediction tools based on clinical ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Ask most Harley riders what they're on and the chances are you'll hear a familiar model name — Street Glide, Road Glide, and the iconic Softail design. However, what all but the most ardent of ...

An AI-powered Python code review and improvement tool that combines large language models with static analysis tools to help you write better Python code. python-code-mentor/ ├── src/mentor/ │ ├── cli ...

Whether you are a veteran Harley-Davidson fan or are only getting acquainted with the beloved American motorcycle manufacturer and its products, we can all agree that the company has some of the most ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...