aim
keepsake
Our great sponsors
| aim | keepsake | |
|---|---|---|
| 70 | 4 | |
| 4,762 | 1,637 | |
| 2.7% | 0.0% | |
| 7.9 | 0.0 | |
| 6 days ago | about 1 year 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.
aim
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aim VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
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End-to-end observability for LlamaIndex environment
LlamaIndex Observer is one of the logging apps built in AimOS (aimstack.io).
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Data Registry suggestions for ML projects
I've been working with Aim for a while, and it's been solid. What stands out for me is its open-source nature. https://aimstack.io/
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Building and debugging LLMs with Aim: self-hosted and open-source AI metadata tracking tool
If you haven't yet, drop a star to support open-source project! ⭐️ https://github.com/aimhubio/aim
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Any tools that offer In-depth tracking of model runtime performance?
Here is the GitHub repository: https://github.com/aimhubio/aim
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Using MLflow(Machine Learning experimentation tracking tool) in Kaggle notebooks with the help of DagsHub
You can also check out Aim, which has an integration with MLflow, called aimlflow.
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Visualize metadata with Aim on Hugging Face Spaces and seamlessly share training results with anyone
Hope you enjoyed reading and thanks for your time! Feel free to share your thoughts, would love to read them. Support Aim by dropping a star on GitHub: https://github.com/aimhubio/aim
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Effortless image tracking and analysis for 3D segmentation task with Aim
Aim: An easy-to-use & supercharged open-source AI metadata tracker aimstack.io
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Evaluate Different Vector Databases
Seems useful: https://github.com/aimhubio/aim
- Metadata visualization via Aim Explorers
keepsake
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keepsake VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
- [D] Experiment Tracking Today: What do you use? Pros and cons.
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[D] How to properly version control ML models amid rapid experimentation?
Keepsake
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[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit?
Complementing the given answer, you could check https://github.com/replicate/keepsake for model versioning.
What are some alternatives?
tensorboard - TensorFlow's Visualization Toolkit
dvc - 🦉 ML Experiments and Data Management with Git
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
guildai - Experiment tracking, ML developer tools
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Samosa (समोसा) - Enforce a triangular Git workflow. If this is not possible, explain why.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
Python Packages Project Generator - 🚀 Your next Python package needs a bleeding-edge project structure.