New Releases
Hey team, Aim 3.25 is out! Reports work as a real-time markdown editor where you can embed queries to the data via regular python as well as use all the markdown abilities to document around.
Aim 3.21 is shipped! Check out the latest improvements.
Hey team, Aim 3.20 is out! What's new? Most of our focus have been on Aim robustness and stability.
Tutorials
What is Reproducibility in ML? What makes it challenging? Tools and platforms to address different aspects of reproducibility: Data Management, Experiment Tracking, Version Control.
Hey community, Aim 3.19 is out!! It's packed with new enhancements, such as Artifacts support, New HTTP-based tracking server.
In this article, we'll show you how to keep your language model up to date for question answering tasks. We'll tweak a pre-trained DistilBERT model and fine-tune it on the SQuAD question-answering dataset.
Explore heart attack prediction using machine learning.This article breaks down key factors and insights from the Heart Attack Prediction dataset. With the help of Aim we keep track of model performance.
Hey team, Aim 3.18 is now available! Discover what's new: Metric min/max/first values support in Runs Explorer, SQLAlchemy 2.0 Support
Integrations
Explore how AimOS can boost your PyTorch Lightning experiments. This article provides a comprehensive guide with a practical example, emphasizing the integration of PyTorch Lightning into AimOS.