This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

A practical roadmap for data science beginners, covering fundamentals, key libraries, projects, and advanced skills. It focuses on real-world learning, avoiding common mistakes, and building job-ready ...

I built this repo as a cumulative sequence. The early notebooks teach Python, data modeling, storage, processing, and streaming. Later chapters stop talking in abstractions and force those ideas into ...

Studio Ghibli-style AI images generated by ChatGPT have been making the rounds on social media for the past few days. These images are possible because OpenAI has unlocked a new native image ...

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...

VS Code: Supports a wide range of programming languages, including JavaScript, Python, Java, C++, and more. Language support can be further enhanced with extensions. Jupyter Notebook: Primarily ...

Cloud-based notebooks have become crucial tools for data analysis, building machine learning models, and peer collaboration. These platforms provide flexibility, scalability, and accessibility, ...

Note: This work is still in the testing phase. This is a tutorial on how to use Azure Machine Learning SDK for Python (AML SDK) to operationalize (Figure 1) pre-trained R models at scale in the cloud ...

We report an educational tool for the upper level undergraduate quantum chemistry or quantum physics course that uses a symbolic approach via the PySyComp Python library. The tool covers both ...

Utilizing Databricks' notebooks facilitates swift R&D cycles in the creation of analytics applications. However, relying solely on notebooks may overlook the robust features and structure offered by ...