clearml
aws-mlu-explain
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| clearml | aws-mlu-explain | |
|---|---|---|
| 20 | 3 | |
| 5,243 | 376 | |
| 3.0% | 5.9% | |
| 8.1 | 7.2 | |
| 5 days ago | 5 months ago | |
| Python | JavaScript | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
clearml
- FLaNK Stack Weekly 12 February 2024
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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
aws-mlu-explain
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For Amazon, I Made A Web-based, Interactive/Visual Explainer of Decision Trees in Machine Learning
Posting here as it was created using JavaScript. D3.js for the visuals, parcel for the bundler, and IntersectionObserver for the scrolls. All code available here: https://github.com/aws-samples/aws-mlu-explain
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Smooth transition for presentation slides
HTML, CSS, JavaScript. Here is the repository with source code for the presentation, if you want to look into it
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Amazon’s Visual, Interactive Explainer on The Bias Variance Tradeoff
It's d3.js, their source code is available https://github.com/aws-samples/aws-mlu-explain/tree/main/bias-variance
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
netron - Visualizer for neural network, deep learning and machine learning models
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!
best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
picovoice - On-device voice assistant platform powered by deep learning
kedro-great - The easiest way to integrate Kedro and Great Expectations
Dannjs - Easy to use Deep Neural Network Library for JavaScript.
streamlit - Streamlit — A faster way to build and share data apps.
Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
NN-SVG - Publication-ready NN-architecture schematics.