kener
ml-engineering
| kener | ml-engineering | |
|---|---|---|
| 4 | 9 | |
| 2,060 | 9,928 | |
| - | - | |
| 9.4 | 9.7 | |
| 6 days ago | 9 days ago | |
| JavaScript | Python | |
| MIT License | Creative Commons Attribution Share Alike 4.0 |
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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.
kener
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6 Best Open Source Status Page Alternatives for 2024
1. Kener
- FLaNK Stack 29 Jan 2024
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Show HN: Built a self hosted clean status page and batteries
I think the incident.svelte file could use some love, is it best practice to put part of the phrase somewhere else? Doesn't it increase the cognitive stress? Like there is somewhere a phrase, but part of the text is being calculated https://github.com/rajnandan1/kener/blob/74ea57d6bbf6ac4dd3e...
Isn't it easier to understand what is going on just by calculating the condition on the top and put the text on the markup based on that condition?
I feel like there are few places where in order to don't duplicate part of the text it's being made extremely difficult what the text is going to be by putting it far away
ml-engineering
- Accelerators
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Gemma: New Open Models
There is a lot of work to make the actual infrastructure and lower level management of lots and lots of GPUs/TPUs open as well - my team focuses on making the infrastructure bit at least a bit more approachable on GKE and Kubernetes.
https://github.com/GoogleCloudPlatform/ai-on-gke/tree/main
and
https://github.com/google/xpk (a bit more focused on HPC, but includes AI)
and
https://github.com/stas00/ml-engineering (not associated with GKE, but describes training with SLURM)
The actual training is still a bit of a small pool of very experienced people, but it's getting better. And every day serving models gets that much faster - you can often simply draft on Triton and TensorRT-LLM or vLLM and see significant wins month to month.
- FLaNK Stack 29 Jan 2024
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ML Engineering Online Book
OK, the pdf is ready now: https://github.com/stas00/ml-engineering#pdf-version
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Self train a super tiny model recommendations
this might be interesting: https://github.com/stas00/ml-engineering/blob/master/transformers/make-tiny-models.md
- The AI Battlefield Engineering – What You Need to Know
- Machine Learning Engineering Guides and Tools
What are some alternatives?
uptime-kuma - A fancy self-hosted monitoring tool
slurm-mail - Slurm-Mail is a drop in replacement for Slurm's e-mails to give users much more information about their jobs compared to the standard Slurm e-mails.
upptime - ⬆️ GitHub Actions uptime monitor & status page by @AnandChowdhary
peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
bams - BigBlueButton & AdobeConnect Monitoring Software
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
AtomGPT - 中英文预训练大模型，目标与ChatGPT的水平一致
deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
pong-wars
java-snapshot-testing - Facebook style snapshot testing for JAVA Tests