GitHub - hikettei/cl-waffe2: [Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp
GitHub - hikettei/cl-waffe2: [Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp
github.com GitHub - hikettei/cl-waffe2: [Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp
[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp - hikettei/cl-waffe2
![GitHub - hikettei/cl-waffe2: [Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp](https://lemmy.blahaj.zone/pictrs/image/aa04bc88-87af-4664-bc46-7b77ddad6cba.webp?format=webp&thumbnail=256)
The advantages of using Common Lisp are numerous:
- The shape of tensors is not limited to numbers, but can also include symbols and even S-expressions!
- Automatic Generation of Iterators, ShapeError, etc.
- Works as a Domain Specific Language for Deep Learning embedded in Common Lisp
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