|5 days ago||1 day ago|
|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.
There is framework for everything.
107 projects | /r/ProgrammerHumor | 4 Aug 2022
This Week in Python
5 projects | dev.to | 1 Apr 2022
recommenders – Best Practices on Recommendation Systems
Opinion on choice of model - Recommender System
2 projects | /r/datascience | 10 Apr 2021
Then I tried to find some more advanced models and I found this really good list and in there I found the Microsoft one. So it's' where we are now, which a bunch of different models and not a documentation/tutorials out there.
Best practice for saving logits/activation values of model in PyTorch Lightning
3 projects | /r/deeplearning | 19 Jul 2023
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.
We just release a complete open-source solution for accelerating Stable Diffusion pretraining and fine-tuning!
5 projects | /r/StableDiffusion | 11 Nov 2022
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
7 projects | /r/u_serend1p1ty-lee | 1 Jul 2022
For lightweight use, pytorch-lightning is too heavy, and its source code will be very difficult for beginners to read, at least for me.
What are some alternatives?
lnd - Lightning Network Daemon ⚡️
Eclair - A scala implementation of the Lightning Network.
metarank - A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
azure-devops-python-api - Azure DevOps Python API
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, any Ubuntu/Debian system, or a VPS.
python-minecraft-clone - Source code for each episode of my Minecraft clone in Python YouTube tutorial series.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
RTL - Ride The Lightning - A full function web browser app for LND, C-Lightning and Eclair
mmcv - OpenMMLab Computer Vision Foundation
Google-rank-tracker - SEO: Python script + shell script and cronjob to check ranks on a daily basis
horapy - 🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library