BIOENGINEER

Structured Python Framework Guides Nonprogramming Engineers Through Core Machine Learning Models

A comprehensive Python tutorial outlines an end-to-end framework enabling engineers without programming expertise to ...
Cointelegraph

5 Python libraries to interpret machine learning models

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications. Understanding machine learning ...

Are Local LLMs Really Practical? Results of Testing Python Fixes with 27B-Class Models

If I can run an LLM at home, can I automate programming tasks as well?”Driven by this question, I ran a local LLM on my home ...
GitHub

[GCPR 2026 Oral] Unlocking Pretrained Vision Transformers for Time Series Classification

Illustration of TiViT on a time series sample from ECG200. We split the time series into segments and stack them to form a grayscale image. Then, we patch the image in 2D and feed it into a frozen ViT ...
GitHub

LLM-Assisted Malware Family Classification Under Obfuscation

Comparison of a fine-tuned small LLM against CNN and BiLSTM baselines for malware family classification, evaluated for robustness under synthetic opcode-sequence obfuscation. Join the competition at ...

#41. N-Gauge x Edge AI Development: Integrating OpenCV Passing Detection and Edge Impulse with Python

Hello, this is Monkichi! We have reached the 41st week of the "100-Week AI Challenge".Last time (Week 40), as a first step ...