slurm-mail
ml-engineering
| slurm-mail | ml-engineering | |
|---|---|---|
| 1 | 9 | |
| 84 | 9,995 | |
| - | - | |
| 9.3 | 9.7 | |
| 4 days ago | 14 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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.
slurm-mail
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Send custom email only when jobs fails.
Since I am unsure how your HPC admin implemented email sending, you might want to talk to your HPC administrator and see if they could implement something like slurm-mail. It has been working very well for the my managed cluster so far and is very customisable based on users' need.
ml-engineering
- Accelerators
-
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?
stui - A Slurm dashboard for the terminal.
peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
yagmail - Send email in Python conveniently for gmail using yagmail
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
holehe - holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
modoboa - Mail hosting made simple
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.
toil - A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
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