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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
The Impact of Generative Artificial Intelligence on College Students’ Computer Thinking in the Task of Complex Computer ...
Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...
One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...
Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow ...
Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...
. ├── app.py ├── forms.py ├── models.py ├── templates/ │ ├── base.html │ ├── chat.html │ ├── login.html ...
read_file: Read file contents with flexible line range control edit_file: Make precise edits to files with clear instructions Supports complete file replacement ...
Abstract: Current non-destructive tomography sensing systems, particularly in the domain of eddy current sensing, lack the capability to dynamically and intelligently optimize sensing parameters in ...
Abstract: Scenario-based testing offers a robust method for evaluating the safety of Autonomous Vehicles (AVs). In this study, we introduce LSTM-CGAN to generate scenarios for assessing AV safety ...
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