coddx-alpha
aim
| coddx-alpha | aim | |
|---|---|---|
| 2 | 70 | |
| 198 | 4,797 | |
| 0.5% | 1.8% | |
| 0.0 | 8.0 | |
| over 1 year ago | 4 days ago | |
| TypeScript | Python | |
| MIT License | 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.
coddx-alpha
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I tried many Todo apps and ended up creating an extension to manage my Todo list in Vscode.
Github repo: https://github.com/coddx-hq/coddx-alpha
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[D] How to be more productive while doing Deep Learning experiments?
Yes for deciding the order of experiments, I also like a Kanban board, like the other commenter suggested. There is a VSCode plugin that displays the content of a TODO.md as kanban board: https://github.com/coddx-hq/coddx-alpha
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
What are some alternatives?
todo.md - TODO.md file format - todomd.org
tensorboard - TensorFlow's Visualization Toolkit
TaskBoard - A Kanban-inspired app for keeping track of things that need to get done. (Don't forget to read the Wiki page!)
dvc - 🦉 ML Experiments and Data Management with Git
vscode-highlight - Advanced text highlighter based on regexes. Useful for todos, annotations etc.
guildai - Experiment tracking, ML developer tools
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
obsidian-toggle-list - This is a simple plugin for Obsidian to overwrite the default behavior of toggle checkbox status. Also, it offers a simple way to toggle through frequently used attributes: task states, task tags, highlighted list, etc.
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Kolan - A collaborative Kanban manager with nested boards
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]