TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
eLife

Adaptation of an herbivorous arthropod to green tea plants by overcoming catechin defenses

Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
GitHub

Declarative Typst in Python with Pandas data frame support.

Pypst helps you dynamically generate Typst code directly in Python. No manual string manipulation required. It has two major use cases: Generating full Typst documents to be rendered as PDFs ...
IEEE

Data-Driven Sea Target Detection Via Normalizing Flow

Abstract: Accurate detection of targets in complex sea clutter environments remains a significant challenge in radar systems. Traditional sea clutter target detection methods are limited in the ...
GitHub

MiroThinker is an open source deep research agent optimized for research and prediction. It achieves a 80.8% Avg@8 score on the challenging GAIA benchmark.

MiroThinker v1.5 is the world-leading open-source search agent that advances tool-augmented reasoning through interactive scaling — training the agent to handle deeper and more frequent ...