nestedcvtraining
clearml
| nestedcvtraining | clearml | |
|---|---|---|
| 6 | 20 | |
| 27 | 5,269 | |
| - | 1.4% | |
| 0.0 | 7.7 | |
| over 1 year ago | 1 day ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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.
nestedcvtraining
- [P] Nested Cross Validation Library
- Project: Nested Cross Validation Library
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[D] Andrew Ng's data-centric vs model-centric Machine Learning
Once you have your pipeline, model included, with all the transformers defined and parametrized, you could use an optimizing approach like the one in the examples of this library: https://github.com/JaimeArboleda/nestedcvtraining Do you think it will be a good idea? Or am I oversimplifying?
- [D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit?
- [P] New library for performing nested cross validation, optimizing, calibrating and reporting quality of binary classification models
clearml
- FLaNK Stack Weekly 12 February 2024
-
clearml VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
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cascade alternatives - clearml and MLflow
3 projects | 1 Nov 2023
- Is there any workflow orchestrator that is Hydra friendly ?
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Show HN: Open-source infra for data scientists
It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products?
It seems like the product also integrates with SCM systems. Are you using gitea and then containers to push code and data to execution like CodeOcean?
https://github.com/allegroai/clearml
https://codeocean.com/
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[D] Drop your best open source Deep learning related Project
Hi there. ClearML is our open-source solution which is part of the PyTorch ecosystem. We would really appreciate it if you read our README and starred us if you like what you see!
- Start with powerful experiment management and scale into full MLOps with only 2 lines of code.
- Everything you need to log, share, and version experiments, orchestrate pipelines, and scale within one open-source MLOps solution.
- Start with powerful experiment management and scale into full MLOps with only 2 lines of code
What are some alternatives?
Python Packages Project Generator - 🚀 Your next Python package needs a bleeding-edge project structure.
MLflow - Open source platform for the machine learning lifecycle
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
projects - Sample projects using Ploomber.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
summer - A compartmental disease modelling framework (Python)
kedro-great - The easiest way to integrate Kedro and Great Expectations
speech-enhancement - Experiments with speech enhancement
streamlit - Streamlit — A faster way to build and share data apps.
NumPy - The fundamental package for scientific computing with Python.