sotabench-api
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Easily benchmark Machine Learning models on selected tasks and datasets
Bumps [requests](https://github.com/psf/requests) from 2.24.0 to 2.31.0. Release notes Sourced from requests's releases. v2.31.0 2.31.0 (2023-05-22) Security Versions of Requests between v2.3.0 and v2.30.0 are vulnerable to potential forwarding of Proxy-Authorization...
Hello, I try to use sotabench-api package, and it gives me the below error as sotabench.com is not currently working. Could you help me regarding this? Traceback (most recent call...
I tried uploading imagenet using the `sb dataset upload` command to work around the changes that required us to upload the dataset ourselves. I cannot figure out how to get...
As discussed in Slack, having option to ignore cache can be useful sometimes. In particular, if I run model someone already run, the result is returned from cache. However, the...
In some cases the first batch might be too small, or simply contain no interesting predictions (eg empty or all zeros). Run hash calculation should catch this, produce a warning...
Use PEP-8 standard for formatting code, perhaps run the whole code through a formatter or install the pre-commit hooks ?
We should add latest pytorch/torchvision installation from github into requirements, then eliminate all copy-pasted code.
TODO sotabench lib: - remove benchmark() function from `benchmark.py` - move deps to requirements - evaluation.json should be made if some ENV variable is set, otherwise pprint something - for...