lightning-hydra-template VS conda-tree

Compare lightning-hydra-template vs conda-tree and see what are their differences.

lightning-hydra-template

Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard. (by lkhphuc)

conda-tree

conda dependency tree helper (by conda-incubator)
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lightning-hydra-template conda-tree
1 1
150 150
- 0.0%
0.0 0.0
about 3 years ago over 1 year ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

lightning-hydra-template

Posts with mentions or reviews of lightning-hydra-template. We have used some of these posts to build our list of alternatives and similar projects.

conda-tree

Posts with mentions or reviews of conda-tree. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing lightning-hydra-template and conda-tree you can also consider the following projects:

Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images

dephell - :package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.

lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

nn-template - Generic template to bootstrap your PyTorch project.

traingenerator - 🧙 A web app to generate template code for machine learning

muzero-general - MuZero

lightning-transformers - Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning