- Video: https://meeting.tencent.com/v2/cloud-record/share?id=b2bbb9da-94dd-45df-94f2-b5bf9e095e60&from=3
- Slide: PDF or https://slides.com/iphysresearch/gwda_coding_4_ann
- Notebooks:
- Video: https://meeting.tencent.com/v2/cloud-record/share?id=9dd600c1-9183-443c-9fd5-ad7116440f47&from=3
- Slide: PDF or https://slides.com/iphysresearch/gwda_coding_4_cnn
- Notebooks:
Homepage: https://www.kaggle.com/competitions/2023-gwdata-bootcamp/
- Welcome to the final challenge of the Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis (2023) - "Can you find the GW signals?" Kaggle Data Science Competition (Hackathon)!
- This competition is designed to apply the knowledge and skills you've learned throughout the course, focusing on gravitational wave data analysis and research.
- The objective of this competition is to develop a model that can accurately identify gravitational wave signals from the provided dataset.
- You will be given a dataset containing a mix of noise and gravitational wave signals. Your task is to develop a model that can accurately distinguish between the two.
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This competition will start at 10:00 PM (Beijing Time) on December 29, 2023, and end at 11:59 PM (Beijing Time) on January 5, 2024.
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Please make sure to submit your solutions before the deadline.
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Good luck and may the best team win!
- data_prep_bbh.py - script for data generation (credit: Dr. Hunter Gabbard)
- utils.py - supplemental script containing some useful functions
- main.py - main script for training / evaluation / submission
- test.npy - test data for submission (You can load the test data in the Kaggle notebook)
Anyway, just check the baseline notebook for everything!
曙光智算的计算服务账号申请入口：华东一区【昆山】
在【镜像仓库】中找到镜像：
gwdata-bootcamp:v1.0,【克隆】到【我的镜像】后，即可在【notebook】中新建notebook里找到。
