Hyperopt ( http://hyperopt.github.io/hyperopt/ ) (https://github.com/hyperopt/hyperopt) - Considers limited resources and does not do a brute force !

Optuna (https://github.com/optuna/optuna)

Hi Learners ,

What are some of the pandas ( python package for dataframe manipulations ) alternatives you have used for dataframe operations that uses GPUs ?

UMAP !

https://umap-learn.readthedocs.io/en/latest/

As simple as

mapper2 = umap.UMAP().fit(data)

Check out DonutModel for doc recognition

https://huggingface.co/docs/transformers/model_doc/donut

You should do some manual text annotation, train and fine tune the model and run the inference using Donut , you can output some key:value pair

Detectron2 ( Facebook ) or for ease of use - Yolo v5 onwards

eg : For Yolo v5 based on how complex you want your inference to run, change the yaml file .

Here coco.yaml has around 80 objects

The model on Imagenet has around 1000 classes . That should be more than enough for anything you want to do !

Here are the 80 classes from coco.yaml file

0: person 1: bicycle 2: car 3: motorcycle 4: airplane 5: bus 6: train 7: truck 8: boat 9: traffic light 10: fire hydrant 11: stop sign 12: parking meter 13: bench 14: bird 15: cat 16: dog 17: horse 18: sheep 19: cow 20: elephant 21: bear 22: zebra 23: giraffe 24: backpack 25: umbrella 26: handbag 27: tie 28: suitcase 29: frisbee 30: skis 31: snowboard 32: sports ball 33: kite 34: baseball bat 35: baseball glove 36: skateboard 37: surfboard 38: tennis racket 39: bottle 40: wine glass 41: cup 42: fork 43: knife 44: spoon 45: bowl 46: banana 47: apple 48: sandwich 49: orange 50: broccoli 51: carrot 52: hot dog 53: pizza 54: donut 55: cake 56: chair 57: couch 58: potted plant 59: bed 60: dining table 61: toilet 62: tv 63: laptop 64: mouse 65: remote 66: keyboard 67: cell phone 68: microwave 69: oven 70: toaster 71: sink 72: refrigerator 73: book 74: clock 75: vase 76: scissors 77: teddy bear 78: hair drier 79: toothbrush

​

A slight change in the inference code is to needed to write into a csv file , in your case

Photo 1 | Car |

Photo 2 | Car | Person

...

etc

When will the waitlist be open for trial ?

Not touching on code ... but general idea about stable Diffusion

https://www.youtube.com/watch?v=1CIpzeNxIhU