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Review for wandb
What do you like best about the product?
I like the flexibility to log custom parameters, and the colorful comparisons between models in for instance confusion matrices.
What do you dislike about the product?
There are a couple of features I would have liked, such as the ability to set a global normalization flag, or controlling which windows stay on screen on reload, maybe these features exist, in that case I just haven't been able to find them
What problems is the product solving and how is that benefiting you?
We build image classification software, and for that it is very useful to track model performance
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The fastest way to log your training runs
What do you like best about the product?
Everything works almost out of the box and it has a "nice look" once logged in
What do you dislike about the product?
I really can't resize images and masked images the way I want inside the GUI and looking at images on mobile is quite a nightmare
What problems is the product solving and how is that benefiting you?
Logging my training runs. I could achieve the same result with tensorboard (and alike) + saving images and masks and periodically generating a webpage that shows them, but W&B already offers that and much more
Great platform for DNN training support
What do you like best about the product?
Visualization of data from different perspective
What do you dislike about the product?
Nothing really, maybe it can be good to customize the hardware monitoring interval
What problems is the product solving and how is that benefiting you?
It helps me learn the progress of my machine learning training jobs
WandB - the best online tool for experiment logging so far
What do you like best about the product?
We are a small team of 15 researchers. After the years of usage tensorboard, we decided to try online tools. We tried a few of them and find out that WandB suits us best. We really like easy of use, the fact that experiments are easily sharable, and hyperparameter sweep option. Also the option to tag all your experiments and subsequent filtration of them is also great.
What do you dislike about the product?
WandB provides an option to create a report from your experiments. It would be nice to use these reports in our papers, however, during the review period, papers should be anonymized but there is no option to anonymize the reports.
What problems is the product solving and how is that benefiting you?
Experiments sharing and logging
Weights and biases changed the way I interact with my models.
What do you like best about the product?
The best thing about W&B is that you don't need to think about performance visualization anymore. W&B handles that for you, no matter how many metrics you have or how complex they are. It's also very simple to use!
What do you dislike about the product?
Can't think of anything that I dislike, my experience has been very positive until now.
What problems is the product solving and how is that benefiting you?
Helps a lot with visualization and performance tracking.
WandMe
What do you like best about the product?
The ability to track everything including gradients is a wonderful aspect.
What do you dislike about the product?
One problem is if there's a zombie wandb process and I try to kill it, it makes other functioning trainig runs terminate.
What problems is the product solving and how is that benefiting you?
To keep track of all the experiments and look at the comparisons anytime.
Also share the plots and reports with the rest of the world.
Also share the plots and reports with the rest of the world.
Great platform for collaboration of experiments with intuitive coding steps
What do you like best about the product?
The API is self explanatory and the UI is smart
What do you dislike about the product?
Caching management is not clear, dis not find a way to clean old logs
What problems is the product solving and how is that benefiting you?
Sharing results, experiment tracking management
Best software for ML experiment tracking
What do you like best about the product?
- Ability to view in browser
- Ability to share with collaborators
- Ability to add figures to experiment reports
- Ability to share with collaborators
- Ability to add figures to experiment reports
What do you dislike about the product?
- Annoying bug with visualising segmentation labels - red speckles appear in the label masks which can make it hard to evaluate.
What problems is the product solving and how is that benefiting you?
Tracking ML experiments and sharing with collaborators
Top-tier service for bargain bin prices
What do you like best about the product?
The hosted aspect is great and if you avoid storing large artifacts, too many histograms, or too many images, it's very cheap or free even for heavy usage. I often run training on remote systems and checking the eval outputs remotely can be a pain with other software like TensorFlow. You need to be sure to run the server on your instance to view the dashboard. With W&B you get comparably powerful features, and you don't need to do anything but run your train script. In addition to hosting, the Sweeps functionality is excellent for hyper-parameter sweeping and pre-determined groups of runs in multi-task settings.
What do you dislike about the product?
Some UI elements, like the Runs data table, can be laggy, and sometimes the auto-refresh seems finicky.
What problems is the product solving and how is that benefiting you?
W&B helps track and debug my experiments. I use it for developing new models, observing loss scales and adjusting them so they're in compatible ranges, detecting and addressing gradient instabilities such as vanishing or exploding. I also use it for hyper-parameter searching to find the best values for my training runs. Additionally, I use the Sweeps functionality for coordinating runs that involve many related models that are deployed together.
Pretty good and unique solution
What do you like best about the product?
Managing runs that are lauched across different machines
What do you dislike about the product?
All new accounts have to be a team not personal
What problems is the product solving and how is that benefiting you?
Keep tracking of hyperparameter searches and evaluation metrics across different runs
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