Aim Alternatives
Similar projects and alternatives to aim
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detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
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pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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Sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API. (by wandb)
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coddx-alpha
Todo Kanban Board manages tasks and save them as TODO.md - a simple plain text file.
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Reviews and mentions
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Ghghfjhfjhgfjhgf
Hey r/MachineLearning !! I am Gev, co-author of Aim. Sharing with you the Aim v3.1 !!! The new version contains the following three notable changes: - Images Tracking and Explorer - Improved UI and backend performance - Better runs navigation Images tracking is a major item off of the roadmap(link) A short Aim UI Images explorer video: Code: https://github.com/aimhubio/aim Web: https://aimstack.io Release Notes: blog url Would love your feedback on our work. How can we make Aim better?
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[D] How to properly version control ML models amid rapid experimentation?
I'll add something I discovered today: https://aimstack.io/
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[D] Comparison of experiment tracking tools
Probably can't add everything there, but I'd say Aim would be a good addition to this list: https://aimstack.io/
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[N] Aim 2.2.0 is out! Hugging Face integration and advanced params table management ...
Excited to launch Aim v2.2.0 🎉🎉🎉
Feel free to open an issue on GitHub for that as well. We would really appreciate that contribution! :)
I have added this thread under the remote storage issue so we take it into account when it's implemented (here: https://github.com/aimhubio/aim/issues/386)
I have just created an issue for it - https://github.com/aimhubio/aim/issues/403 feel free to add more thoughts if I have missed something.
image logging is not available yet. it's in mid-term plans (https://github.com/aimhubio/aim/issues/332)
We have also shared why we are building Aim in here.
We have this issue: https://github.com/aimhubio/aim/issues/386
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[D] How to be more productive while doing Deep Learning experiments?
I prefer Aim, a very flexible one. I use it to group multiple experiments by their hyperparameters and show the min/max/average/median performance of the group. You can easily notice which hyperparameter choice affects most.
Log everything, literally everything, including hyperparameters, command-line arguments, environment variables, outputs, checkpoints, resource usage, etc. Decent High-level ML frameworks provide this out-of-the-box. Configure a callback to your trainer to send a notification through Slack. To track and compare your experiments use tools other than just a plain tensorboard. Aim is a fantastic tool to get insights from hundreds of experiments.
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D Ml Experiment Tracking
Hey, check out Aim - https://github.com/aimhubio/aim
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[N] Aim 1.3.5 is out! Take a look at the new features...
There is already PyTorch Lightning support,here: https://github.com/aimhubio/aim#pytorch-lightning (you just have to add 3 lines)
- Aim: Record, search and compare ML training runs
Stats
aimhubio/aim is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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