Ambuj Pawar

Hi, since this issue is now up for grabs. I would like to grab it :)

@vfdev-5 did you mean these? ``` test/test_models.py::test_classification_model[cpu-googlenet] /root/project/torchvision/models/googlenet.py:178: UserWarning: Scripted GoogleNet always returns GoogleNetOutputs Tuple warnings.warn("Scripted GoogleNet always returns GoogleNetOutputs Tuple") test/test_models.py::test_googlenet_eval code/__torch__/torchvision/models/googlenet.py:34: UserWarning: Scripted GoogleNet always returns GoogleNetOutputs Tuple...

It seems like the issue is resolved. Shall we close this then?

I see that [Mixup for Detection](https://arxiv.org/pdf/1902.04103v1.pdf) [[1](https://github.com/Megvii-BaseDetection/YOLOX/blob/a5f629a6d28fcc3742ce9483698b3376ce457533/yolox/data/datasets/mosaicdetection.py#L162-L234), [2](https://github.com/open-mmlab/mmdetection/blob/1376e77e6ecbaad609f6003725158de24ed42e84/mmdet/datasets/pipelines/transforms.py#L2347)] is still available. Can I pick it up?

Hi, I would like to take CLIP from the list you have mentioned. :)

I'm interested in picking this up. I'll give it a try! :)

Hi, I am new to this project and would like to contribute towards it. This seems like something I could pick up. Can you please help with explaining how should...

Hey, @gventuri I can work on it. However, before starting with the issue. I have a few questions: - How do you propose to handle this? Because currently the user...

I dont have a strong preference for any. But out of the these two options, I prefer: ``` pandas_ai.run(df1, df2, prompt='Which are the 5 happiest countries?') ``` Because to be...

@NicolasHug can you have a look please