GitHub

AML: Adversarial Meta-Learning for Few-Shot Object Detection

This package includes our codes for implementing "Adversarial Meta-Learning for Few-Shot Object Detection". (First Release Date: 2025-04-13) Please refer to mmfewshot ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
IEEE

Performance Evaluation of different Machine Learning Techniques for Pothole Detection

Abstract: A pothole is an oval-shaped depression in the surface of a road that is the result of the cyclical forces applied to broken pavement by traffic, causing shattered pieces of pavement to be ...