SuperMarket
pytorch-lightning
Our great sponsors
| SuperMarket | pytorch-lightning | |
|---|---|---|
| 1 | 8 | |
| 1,928 | 26,797 | |
| - | 1.5% | |
| 2.9 | 9.9 | |
| about 1 month ago | about 21 hours ago | |
| Java | Python | |
| GNU Affero General Public License v3.0 | 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.
SuperMarket
-
Weekly Developer Roundup #23 - Sun Nov 22 2020
GoogleLLP/SuperMarket (Java): 设计精良的网上商城系统，包括前端、后端、数据库、负载均衡、数据库缓存等，使用SpringCloud框架，基于Java开发。该项目可部署到服务器上，不断完善中……
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?
spring-reddit-clone - Reddit clone built using Spring Boot, Spring Security with JWT Authentication, Spring Data JPA with MySQL, Spring MVC. The frontend is built using Angular - You can find the frontend source code here - https://github.com/SaiUpadhyayula/angular-reddit-clone
lnd - Lightning Network Daemon ⚡️
mybatis-plus - An powerful enhanced toolkit of MyBatis for simplify development
Eclair - A scala implementation of the Lightning Network.
modular-monolith-with-ddd - Full Modular Monolith application with Domain-Driven Design approach.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
composer - Supercharge Your Model Training
ObjectiveSql - Writing SQL using Java syntax
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.
CefSharp - .NET (WPF and Windows Forms) bindings for the Chromium Embedded Framework
Keras - Deep Learning for humans