deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks (by deephyper)
ml-engineering
Machine Learning Engineering Open Book (by stas00)
deephyper | ml-engineering | |
---|---|---|
1 | 9 | |
262 | 9,853 | |
0.8% | - | |
8.9 | 9.7 | |
12 days ago | 3 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Creative Commons Attribution Share Alike 4.0 |
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.
deephyper
Posts with mentions or reviews of deephyper.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] DeepHyper; software package to automate design and development of ML models
Link: https://github.com/deephyper/deephyper
ml-engineering
Posts with mentions or reviews of ml-engineering.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-21.
- 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
-
ML Engineering Online Book
OK, the pdf is ready now: https://github.com/stas00/ml-engineering#pdf-version
-
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?
When comparing deephyper and ml-engineering you can also consider the following projects:
autokeras - AutoML library for deep learning
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.