Pytorch is better than the competition
August 26, 2022
Pytorch is better than the competition
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Pytorch
Pytorch is used to build ML models for recommender systems. As pytorch was developed in Meta it is frequently used across the whole organization (instagram, facebook, whatsapp, reality labs). We use it for quicker iteration, better debugging, and better support than some of its competitors. I can't talk about exact details too much for the products it's used for, but it is widely used in massive models that are put into production.
- debugging is better than other frameworks
- iteration is easy
- pythonic syntax
- great documentation
- Would like more examples online of certain models
- documentation
- pythonic syntax and programming style
- ease of use
- I'd estimate I can build a model 50% faster on pytorch vs other frameworks
- Caffe2 and TensorFlow
The syntax of PyTorch is much better in my opinion, and the programming style is more pythonic and easier to use. I also think PyTorch is a lot easier to debug than the competitors I've listed (Caffe2 and TensorFlow). I do like some of the examples given on tensorflows website, but PyTorch has good examples too.
Do you think Pytorch delivers good value for the price?
Yes
Are you happy with Pytorch's feature set?
Yes
Did Pytorch live up to sales and marketing promises?
Yes
Did implementation of Pytorch go as expected?
Yes
Would you buy Pytorch again?
Yes