modular-monolith-with-ddd
pytorch-lightning
Our great sponsors
modular-monolith-with-ddd | pytorch-lightning | |
---|---|---|
18 | 8 | |
10,270 | 26,797 | |
- | 1.7% | |
7.4 | 9.9 | |
3 days ago | 5 days ago | |
C# | Python | |
MIT License | Apache License 2.0 |
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.
modular-monolith-with-ddd
-
Modular Monolith with DDD repository migrated to .NET 8.0
Link to PR here: https://github.com/kgrzybek/modular-monolith-with-ddd/pull/286
-
How to find a sample enterprise applications?
- https://github.com/kgrzybek/modular-monolith-with-ddd (a really well documented example)
-
How I start every new Python backend API project
You can see there is a module called building_blocks. Inside it, I keep all the utilities needed in the project, like a logger, serializers, and so on. I did not make up this name, I borrowed it from this repo.
- Does anybody want to learn Computer Science??
-
100+ Must Know Github Repositories For Any Programmer
9. Modular Monolith with TDD
- Can you suggest a Git repo using DDD
-
Can you suggest a git repo using DDD?
This covers far more than just DDD, however, I find the links and README super helpful for a wide range of subjects: https://github.com/kgrzybek/modular-monolith-with-ddd
-
Software design: What are the middle ground options between monolith and microservices?
Modular monolith. Here is one of the best production-ready examples https://github.com/kgrzybek/modular-monolith-with-ddd
- Why do I distrust people who talk about Clean Architecture?
-
The only two custom React hooks we ever use
Am wondering what react community thinks of DDD.
I've been reading "blue" DDD book (by Eric Evans) and "red" book (by Vaugh Vernon) and that was a completely "my whole life was a lie" type of experience and relief at the same time. It's just so great to have the principles of who to structure the code. It, by definition makes, your codebase structure meaningful. Because it's structured according to some common knowledge, not your random thoughts at the time you were writing code.
I was surprised to find so little DDD react sample codebases. Let's say for backend there is huge amount of samples, i.e. https://github.com/kgrzybek/modular-monolith-with-ddd . For react/frontend I have bookmarked only https://github.com/talyssonoc/react-redux-ddd/tree/master/sr... and few more, but those others does not meet the optional criteria i like really much - at the highest (or at app) level all codebase need to have folders app, domain, infra and ui. Simple rule, but simplifies life a lot.
So my question is - is DDD for some reasons not very applicable for app frontend development. Or it just never became popular. Or maybe DDD is popular amongst react developers, just I am not aware of this.
Many thanks for any ideas and comments!
pytorch-lightning
- Lightning AI Studios – A persistent GPU cloud environment
-
Como empezar con inteligencia artificial?
https://see.stanford.edu/Course/CS229 https://lightning.ai/ https://www.youtube.com/watch?v=00s9ireCnCw&t=57s https://towardsdatascience.com/
-
Best practice for saving logits/activation values of model in PyTorch Lightning
I've been wondering on what is the recommended method of saving logits/activations using PyTorch Lightning. I've looked at Callbacks, Loggers and ModelHooks but none of the use-cases seem to be for this kind of activity (even if I were to create my own custom variants of each utility). The ModelCheckpoint Callback in its utility makes me feel like custom Callbacks would be the way to go but I'm not quite sure. This closed GitHub issue does address my issue to some extent.
- New to ML, which is easier to learn - Tensorflow or PyTorch?
- PyTorch Lightning – DL framework to train, deploy, and ship AI fast
-
We just release a complete open-source solution for accelerating Stable Diffusion pretraining and fine-tuning!
Our codebase for the diffusion models builds heavily on OpenAI's ADM codebase , lucidrains, Stable Diffusion, Lightning and Hugging Face. Thanks for open-sourcing!
-
An elegant and strong PyTorch Trainer
For lightweight use, pytorch-lightning is too heavy, and its source code will be very difficult for beginners to read, at least for me.
-
[D] Mixed Precision Training: Difference between BF16 and FP16
For the A100 GPU, theoretical performance is the same for FP16/BF16 and both rely on the same number of bits, meaning memory should be the same. However since it's quite newly added to PyTorch, performance seems to still be dependent on underlying operators used (pytorch lightning debugging in progress here).
What are some alternatives?
CleanArchitecture - Clean Architecture Solution Template for ASP.NET Core
lnd - Lightning Network Daemon ⚡️
Domain-Driven-Design-Example - Blog series supplementary domain-driven design C# repository that (hopefully) actually makes sense.
Eclair - A scala implementation of the Lightning Network.
UpdatedMonolithSolver - A tool that creates a solution for the "Treasure Hunter! Monolith" minigame in Danganronpa V3: Killing Harmony
mmdetection - OpenMMLab Detection Toolbox and Benchmark
ASP.NET Boilerplate - ASP.NET Boilerplate - Web Application Framework
composer - Supercharge Your Model Training
eShopOnWeb - Sample ASP.NET Core 8.0 reference application, powered by Microsoft, demonstrating a layered application architecture with monolithic deployment model. Download the eBook PDF from docs folder.
umbrel - A beautiful home server OS for self-hosting with an app store. Buy a pre-built Umbrel Home with umbrelOS, or install on a Raspberry Pi 4, Pi 5, any Ubuntu/Debian system, or a VPS.
MassTransit - Distributed Application Framework for .NET
Keras - Deep Learning for humans