PyTorch Models (adapted from existing code) and Dockerfile

sedang Berlangsung Dipasang 1 tahun yang lalu Dibayar saat pengiriman
sedang Berlangsung

Any (or all) of

A- PyTorch Video Diffusion model, can be a simplified/stripped down version of one of these two codebases applied to moving MNIST. This codebase works RaMVID [login to view URL]

B- datascience / ML Dockerfile

- Dummy variables for user/cluster info

- Can scale number of GPUs

- nvidia CUDA and cuDNN version changeable (FROM an nvidia image is fine)

- conda package management

- only torch necessary, but include lines with comments for other installations

Stripped down/simplified

Project structure should be

- Dockerfile

- [login to view URL]

- [login to view URL]

- [login to view URL]

- [login to view URL]

- [login to view URL]

- code

- [login to view URL]

- other_files

- ...

Notes

- All input variables must be contained in the yaml files and logically ordered

- Other dependencies ideally removed

- [login to view URL] contains lines needed to setup environment (including image creation)

Ilmu Data Docker Machine Learning (ML) Python Pytorch

ID Proyek: #36180435

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23 proposal Proyek online Aktif 1 tahun yang lalu

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