People have had a lot of negative things to say about fastai v1, claiming it is not very flexible and intuitive and only good for the certain Kaggle-type proble

People have had a lot of negative things to say about fastai v1, claiming it is not very flexible and intuitive and only good for the certain Kaggle-type problems. I would recommend them to check out fastai v2 as a serious competitor to other PyTorch-based frameworks like PyTorch Lightning, Catalyst, Ignite, etc. It's very easy to work with default deep learning problems, but for more complex and unique problems, the mid-level/low-level API and callbacks make it quite painless to use fastai in your workflow. Plus there's tons of community support (forums.fast.ai + Discord), even for a package maintained by only a few people. Check it out!