modelstore
onnxmltools
| modelstore | onnxmltools | |
|---|---|---|
| 4 | 3 | |
| 353 | 940 | |
| 1.1% | 1.9% | |
| 6.9 | 6.5 | |
| 3 months ago | 22 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
modelstore
-
An open source ML model registry called modelstore
A couple of years ago (during a lockdown!), I started working on modelstore - a Python library for managing trained machine learning models.
-
lightweight model performance tracking?
The lightest open source option I'm aware of is https://github.com/operatorai/modelstore
- What us the best MLOps platform for 2022
- [D] using git or other tools to manage models
onnxmltools
-
Model Interoperability with ONNX
onnxmltools
-
Export and run other machine learning models
With the onnxmltools library, traditional models from scikit-learn, XGBoost and others can be exported to ONNX and loaded with txtai. Additionally, Hugging Face's trainer module can train generic PyTorch modules. This notebook will walk through all these examples.
-
[D] ONNX ecosystem
PyTorch has robust support for exporting Torch models to ONNX. This enables exporting Hugging Face Transformers and/or other downstream models directly to ONNX. With the onnxmltools library, traditional models from scikit-learn, XGBoost and others can be exported to ONNX.
What are some alternatives?
gato - Unofficial Gato: A Generalist Agent
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle