hms-harmful-brain-activity-classification
importedsoftware/hms-harmful-brain-activity-classification
Kaggle Silver Medal solution archive for HMS harmful brain activity EEG classification.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- deep-learning · eeg · kaggle · medical-ai · pytorch · spectrogram
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ECG-DigitizeNet-Image-to-Time-Series-Digitization-and-Hybrid-CNN-ViT-LLM-Diagnostickaggle · medical-ai · pytorch
ECG-DigitizeNet: A complete end-to-end system that converts raw 12-lead ECG images into digitized time-series signals, classifies cardiac conditions using a Hybrid CNN–Transformer (ViT-like) deep…
- BTSC-UNet-ViTmedical-ai · pytorch
🧠 BTSC-UNet-ViT— a🚀brain tumor segmentation & classification system combining 🧩Vision Transformers (ViT) for tumor detection and 🎯 UNet for precise pixel-level segmentation from MRI scans.…
- ecg-ai-monitormedical-ai · pytorch
PyQt5 ECG AI assist monitor with TorchScript inference, offline replay, model contract, and one-click demo.
- MedInsightmedical-ai · pytorch
Research framework evaluating retrieval-augmented vision-language models for evidence-grounded medical visual question answering.
- QG-SSLmedical-ai · pytorch
[MICCAI '26 Early Accept] Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
- SynthECGmedical-ai · pytorch
The first systematic evaluation framework for synthetic 10-second 12-lead ECGs from diagnostic class-conditioned generative models
- api.github.com/repos/YutoTerashima/hms-harmful-brain-activity-classificationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-05-02, 46 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/19.json→ .entries["hms-harmful-brain-activity-classification"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.