ml-engineering
deephyper
| ml-engineering | deephyper | |
|---|---|---|
| 9 | 1 | |
| 9,928 | 264 | |
| - | 1.5% | |
| 9.7 | 8.9 | |
| 9 days ago | 8 days ago | |
| Python | Python | |
| Creative Commons Attribution Share Alike 4.0 | BSD 3-clause "New" or "Revised" License |
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.
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
-
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
deephyper
-
[R] DeepHyper; software package to automate design and development of ML models
Link: https://github.com/deephyper/deephyper
What are some alternatives?
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.
autokeras - AutoML library for deep learning
peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
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
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
keras-tuner - A Hyperparameter Tuning Library for Keras
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.
openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
AtomGPT - 中英文预训练大模型，目标与ChatGPT的水平一致
compression - Data compression in TensorFlow