🔧 Feature Engineering - barisamiw · Scour

Mapping Chemical Diversity: Descriptor-Guided Clustering of Natural Products in the COCONUT Database

🧭Vector Databases Academic

Bridging Expert Knowledge and Automated Feature Engineering via Self-Evolution

🔀Transformers Academic

CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space

🤖AI Academic

A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models

🤖AI Academic

make descriptions shorter · vinta/awesome-python@9f156de

🤖AI Code

A Hierarchical Feature Engineering Framework for Automated Classification of Phonotraumatic and Non-Phonotraumatic Vocal Hyperfunction

🔀Transformers Academic

From Patches to Patients: A study of the tile-to-slide performance transferability in Digital Pathology

🧭Vector Databases Academic

XtrAIn: Training-Guided Occlusion for Feature Attribution

🔀Transformers Academic

Update canonical GitHub project links (#3177)

🤖ML Code

The Chronicles of Radio Frequency Fingerprinting

🤖ML Academic

Learning quality scores for chromatin accessibility bigWig tracks using Machine Learning

🧭Vector Databases Academic

Varifold Moment Invariants for Sustainable and Explainable Contour Feature Extraction

🧭Vector Databases Academic

meleantonio forked meleantonio/DEQN_Galo_03_2026 from sischei/DEQN_Galo_03_2026

🤖ML Code

Learning Doubly Sparse Explicitly Conditioned Transforms

🧭Vector Databases Academic

TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

🧭Vector Databases Academic

HydraCIL: Decoupled Class-Incremental Learning through Prototype-Guided Multi-Head Classifiers

🤖AI Academic

A Comparison of SSL-Based Feature Extractors and Back-End Classifiers for Spoofing Detection: A Multi-Corpus Training and Cross-Linguistic Analysis

🤖AI Academic

Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition

🔀Transformers Academic

See More, Match Better: Multi-Source Feature Fusion for Two-View Correspondence Learning

🧭Vector Databases Academic

sarveshrv07-arch/AegisHive-Swarm-Robotics-System-for-Disaster-Response: AegisHive is a programming-based virtual rescue robotics project developed using basic concepts of mechatronics, IoT, and machine learning to simulate how multiple robots can work together during disaster response operations.

🔗Distributed Systems & Big Data Techniques Code

github.com··r/learnprogramming

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