[D] Keras 3.0 Announcement: Keras for TensorFlow, JAX, and PyTorch

1. ivy

   1 17 14,177 9.7 Python

   Convert Machine Learning Code Between Frameworks

   

   https://unify.ai/ They are trying to do what Ivy is doing already.

2. Judoscale

   judoscale.com featured

   Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

   

3. animus

   2 1 27 10.0 Python

   Minimalistic framework to run machine learning experiments. (by Scitator)

   

   PyTorch Lightning has terrible abstractions. I wish people would move to something closer to Catalyst or its simplified cousin of only 1000 lines of source code, Animus which basically is just a training loop around accelerate along with nicely structured composable classes.

4. Pytorch

   3 387 88,992 10.0 Python

   Tensors and Dynamic neural networks in Python with strong GPU acceleration

   

   The lack of engagement in the relevant issue trackers (imports, dtypes, I can't actually find an issue for the pooling padding) hurts the legitimate complaints.

Suggest a related project