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In the medium-long term, it makes little sense to continue to support a tape-based AD package when there is excellent work going on elsewhere in the Julia community; see [Capstan](https://github.com/J…
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Inspired by [Tensor Considered Harmful](http://nlp.seas.harvard.edu/NamedTensor), I'm wondering if it's possible to build compile-time checked tensor type. There prior works to make things possible.
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Is there an official grammar for the tensor index notation used by taco expressions?
I have found and read the one at Section 4.2 of Kjølstad's Ph.D. Thesis, but I'm not sure whether it represents…
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I was comparing code generation in Ghidra, and when I looked at the regular `einsum` call, there was a lot of code being generated. When I compared it to the `execute_generic` function I wrote for the…
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Currently, `NumpyMatrixOperator` supports NumPy arrays and SciPy sparse matrices. It would be good to also add support for [pydata/sparse](https://github.com/pydata/sparse) arrays, as SciPy did in ver…
pmli updated
3 months ago
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Hi @chakravala,
In your JuliaCon paper, I noticed the statement "Mixed-symmetry algebra with `Leibniz.jl` and `Grassmann.jl`, having the geometric algebraic product chain rule, yields automatic dif…
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I can't wait for AutoDiff to support control flow. On that topic, I had a quick question: how easy/difficult would it be to implement recursive (not recurrent) neural networks? (https://stackoverflow.…
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## 🚀 Feature
**TL;DR**: Providing domain-specific transformation APIs will make it straightforward to pre-process and post-process the data in LibTorch `Tensor` format.
The LibTorch and LibTor…
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## 🚀 Feature
Support for a new device in DGL - Intel GPU. The POC of Intel GPU support in DGL for GraphSAGE model is available here: https://github.com/RafLit/dgl/tree/xpu_poc.
## Motivation
Intel …