pytorch-lightning
developer-roadmap
pytorch-lightning | developer-roadmap | |
---|---|---|
9 | 2,112 | |
26,883 | 274,946 | |
1.0% | - | |
9.9 | 9.8 | |
7 days ago | 7 days ago | |
Python | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
pytorch-lightning
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SB-1047 will stifle open-source AI and decrease safety
It's very easy to get started, right in your Terminal, no fees! No credit card at all.
And there are cloud providers like https://replicate.com/ and https://lightning.ai/ that will let you use your LLM via an API key just like you did with OpenAI if you need that.
You don't need OpenAI - nobody does.
- Lightning AI Studios – A persistent GPU cloud environment
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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/
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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
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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!
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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.
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[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).
developer-roadmap
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How to start learning web development for free
Learning the basics of web development opens doors to many other careers in the tech field. Roadmap.sh provides guides, learning paths, and roadmaps to point developers in a direction of their choosing.
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5 Uncommon Advices from one beginner coder to another beginner coder!
There's a website I personally follow specific for roadmaps called as “roadmap.sh” where all the roadmaps are available. You can check it out, if you like. Here's the link: ▶️ https://roadmap.sh/
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Programming vs Web Development
If you're starting your journey in web development, here is a roadmap to follow. Understand that Web development is not merely an extension of programming; it's a distinct field that requires a unique blend of coding and visual design skills. Embrace the importance of visual aesthetics from the get-go, and continuously work on improving your design sense. Trust me it will pay off in the long run, and you'll be able to create truly exceptional web experiences that not only function well but also look and feel amazing.
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Developer should-know websites
Github developer roadmaps (backend, frontend, cloud ...)
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Unique websites for the Developer - TechGenieDev
Roadmap.sh (https://roadmap.sh/)
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Top 10 GitHub Repositories Every Web Developer Should Know
Web Developer-Roadmap GitHub Link: developer-roadmap Crafted by kamranahmedse, this roadmap acts as a compass for developers navigating the vast landscape of technologies. Covering front-end, back-end, and DevOps, it aids developers in charting a learning path aligned with their goals.
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10 GitHub repositories that every developer must follow
✅ kamranahmedse/developer-roadmap: https://github.com/kamranahmedse/developer-roadmap
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ChatGPT as a Programming Mentor: A Test Drive
It may also be beneficial to start with a high-level overview of what there is to learn in a given area, to understand the overall lay of the land - and then use ChatGPT to dig deeper into selected topics. There are many good resources that provide such an overview, like roadmap.sh or my "Definitive Guide to Succeeding as a Professional Dev".
- 18 Must-Bookmark GitHub Repositories Every Developer Should Know
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Resources I wish I knew when I started my career
5. Roadmap
What are some alternatives?
lnd - Lightning Network Daemon ⚡️
C++ Workflow - C++ Parallel Computing and Asynchronous Networking Framework
Eclair - A scala implementation of the Lightning Network.
computer-science - :mortar_board: Path to a free self-taught education in Computer Science!
mmdetection - OpenMMLab Detection Toolbox and Benchmark
freeCodeCamp - freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
composer - Supercharge Your Model Training
data-engineer-roadmap - Roadmap to becoming a data engineer in 2021
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.
substrate - Substrate: The platform for blockchain innovators
Keras - Deep Learning for humans
system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.