pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes. (by Lightning-AI)
shardingsphere
Distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database. (by apache)
Our great sponsors
| pytorch-lightning | shardingsphere | |
|---|---|---|
| 8 | 23 | |
| 26,883 | 19,425 | |
| 2.0% | 0.8% | |
| 9.9 | 10.0 | |
| 2 days ago | 7 days ago | |
| Python | Java | |
| Apache License 2.0 | Apache License 2.0 |
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.
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
Posts with mentions or reviews of pytorch-lightning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-08.
- 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).
shardingsphere
Posts with mentions or reviews of shardingsphere.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-25.
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Managing Data Residency - the demo
Opposite to what the documentation tells, the full prefix is jdbc:shardingsphere:absolutepath. I've opened a PR to fix the documentation.
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ShardingSphere 5.3.0 is released: new features and improvements
🔗 Release Notes
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ElasticJob 3.0.2 is released including failover optimization, scheduling stability, and Java 19 compatibility
ElasticJob, one of the sub-projects of the Apache ShardingSphere community, is a distributed scheduling solution oriented towards Internet applications and massive tasks.
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ShardingSphere 5.2.1 is released — Here are the highlights
Following 1.5 months in development, Apache ShardingSphere 5.2.1 is released. Our community merged 614 PRs from teams and individuals around the world. The resulting 5.2.1 release has been optimized in terms of features, performance, testing, documentation, examples, etc.
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Apache ShardingSphere 5.2.0 is Released!
🔗 Update Logs
- Apache ShardingSphere Enterprise User Case — Energy Monster
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DistSQL Applications: Building a Dynamic Distributed Database
GitHub Issues
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ShardingSphere-Proxy Front-End Protocol Troubleshooting Guide and Examples
[8] https://github.com/apache/shardingsphere/pull/17914 [9] https://github.com/apache/shardingsphere/blob/2c9936497214b8a654cb56d43583f62cd7a6b76b/shardingsphere-proxy/shardingsphere-proxy-frontend/shardingsphere-proxy-frontend-core/src/main/java/org/apache/shardingsphere/proxy/frontend/netty/ServerHandlerInitializer.java [10] https://shardingsphere.apache.org/document/current/cn/downloads/
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ShardingSphere-JDBC Driver Released: A JDBC Driver That Requires No Code Modifications
Relevant Links: GitHub issue
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Cloud native deployment for a high-performance data gateway + new API driver: Apache ShardingSphere 5.1.2 is released
Release Notes
What are some alternatives?
When comparing pytorch-lightning and shardingsphere you can also consider the following projects:
lnd - Lightning Network Daemon ⚡️
scalardb - Universal transaction manager
Eclair - A scala implementation of the Lightning Network.
MySQL - MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
postgrest - REST API for any Postgres database
composer - Supercharge Your Model Training
awesome - 😎 Awesome lists about all kinds of interesting topics
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.
eladmin - eladmin jpa 版本：项目基于 Spring Boot 2.6.4、 Jpa、 Spring Security、Redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由
Keras - Deep Learning for humans
ObjectiveSql - Writing SQL using Java syntax
pytorch-lightning vs lnd
shardingsphere vs scalardb
pytorch-lightning vs Eclair
shardingsphere vs MySQL
pytorch-lightning vs mmdetection
shardingsphere vs postgrest
pytorch-lightning vs composer
shardingsphere vs awesome
pytorch-lightning vs umbrel
shardingsphere vs eladmin
pytorch-lightning vs Keras
shardingsphere vs ObjectiveSql