Here are some early musings on goals I’d like us to hit as a community in 2025:
- Swapping to all Torch defaults for models
- Deprecating all TensorFlow/Jax code formally
- First equivariant models (SE(3) transformers, E3NN style models): Adding equivariance to DeepChem has been tricky. I want us to mature this engineering effort and get it into DeepChem core
- First RNA-seq/ATAC-seq models: Single cell deep learning has been booming. I’d like to see us get some models into
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