https://github.com/compomics/intro-to-deep-learning
Practical introduction to neural networks with Pytorch and Lightning
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (0.4%) to scientific vocabulary
Keywords
convolutional-neural-networks
lightning
neural-networks
pytorch
recurrent-neural-networks
tutorial
Last synced: 5 months ago
·
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Repository
Practical introduction to neural networks with Pytorch and Lightning
Basic Info
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
convolutional-neural-networks
lightning
neural-networks
pytorch
recurrent-neural-networks
tutorial
Created 10 months ago
· Last pushed 9 months ago
Metadata Files
Readme
License
README.md
intro-to-deep-learning
Owner
- Name: Computational Omics and Systems Biology Group
- Login: CompOmics
- Kind: organization
- Email: compomics.list@gmail.com
- Website: https://www.compomics.com/
- Twitter: CompOmics
- Repositories: 93
- Profile: https://github.com/CompOmics
The CompOmics group, headed by Prof. Dr. Lennart Martens, specializes in the management, analysis and integration of high-throughput Omics data.
GitHub Events
Total
- Watch event: 1
- Push event: 3
- Public event: 1
Last Year
- Watch event: 1
- Push event: 3
- Public event: 1
Dependencies
requirements.txt
pypi
- lightning >=2.5,<3
- matplotlib >=3.10,<4
- numpy >=2.2,<3
- pandas >=2.2,<3
- pillow >=11.2,<12
- pytorch-lightning >=2.5,<3
- scikit-learn >=1.6,<2
- scipy >=1.15,<2
- seaborn >=0.13,<1
- torch >=2,<3
- torchvision >=0.22,<1
- tqdm >=4.67,<5
- wandb >=0.19,<1