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Aim team
Aim logs your training runs, enables a beautiful UI to compare them and an API to query them programmatically.
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Hugging the Chaos: Connecting Datasets to Trainings with Hugging Face and Aim
Hugging the Chaos: Connecting Datasets to Trainings with Hugging Face and Aim
Combining Hugging Face and Aim to make machine learning experiments traceable, reproducible and easier to compare.
Gor Arakelyan
Feb 16, 2023
New Releases
Launching Aim on Hugging Face Spaces
Launching Aim on Hugging Face Spaces
Now you can share your training results alongside with your models on the HF Hub in a few steps!
Gor Arakelyan
Apr 25, 2023
Aim v3.16 — Run messages in UI, TensorBoard real-time sync, integration with Hugging Face Datasets
Aim v3.16 — Run messages in UI, TensorBoard real-time sync, integration with Hugging Face Datasets
Excited to announce Aim v3.16 is out! 🚀
Gor Arakelyan
Feb 15, 2023
Aim and MLflow — Choosing Experiment Tracker for Zero-Shot Cross-Lingual Transfer
Aim and MLflow — Choosing Experiment Tracker for Zero-Shot Cross-Lingual Transfer
The release of aimlflow sparked user curiosity, a tool that facilitates seamless integration of a powerful experiment tracking user…
Hovhannes Tamoyan
Feb 13, 2023
Testimonials
Gev Sogomonian
May 31, 2022
How YerevaNN researchers use Aim to compare 100s of models
Read more…
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Aim Integrations
LangChain + Aim: Building and Debugging AI Systems Made EASY!
LangChain + Aim: Building and Debugging AI Systems Made EASY!
As AI systems get complex, the ability to effectively debug and monitor them becomes crucial.
Gor Arakelyan
Apr 6, 2023
Reproducible forecasting with Prophet and Aim
Reproducible forecasting with Prophet and Aim
You can now track your Prophet experiments with Aim! The recent Aim v3.16 release includes a built-in logger object for Prophet runs. It…
Davit Grigoryan
Mar 14, 2023
How to integrate aimlflow with your remote MLflow
How to integrate aimlflow with your remote MLflow
We are thrilled to unveil aimlflow, a tool that allows for a smooth integration of a robust experiment tracking UI with MLflow logs! 🚀
Hovhannes Tamoyan
Jan 30, 2023
Tutorials
Aim tutorial for Weights and Biases users
Aim tutorial for Weights and Biases users
I am Hovhannes - ML researcher at YerevaNN. Experiment trackers are key for any researchers day-to-day and I have had my fair share of…
Hovhannes Tamoyan
Sep 8, 2022
An end-to-end example of Aim logger used with XGBoost library
An end-to-end example of Aim logger used with XGBoost library
Aim 2.4.0 supports XGBoost integration. A short intro to how it works.
Khazhak Galstyan
May 17, 2021
How to tune hyper-params with fixed seeds using PyTorch Lightning and Aim
How to tune hyper-params with fixed seeds using PyTorch Lightning and Aim
Fixing seeds is a key technique for hyper-parameter tuning to avoid significant variance you your training results.
Gev Sogomonian
Mar 11, 2021
Aim basics: using context and subplots to compare validation and test metrics
Aim basics: using context and subplots to compare validation and test metrics
Learn how to use Aim context and subplots to compare 1000s train/validation/test metrics at once.
Gev Sogomonian
Feb 16, 2021
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