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@lgarrison and I have been chatting about the possibility of writing a paper describing what we're doing here. Something like "Differentiable programming with NUFFTs" or "NUFFTs for machine learning a…
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|Previous ID | SR-13167 |
|Radar | rdar://problem/69987999 |
|Original Repo…
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https://yuanming.taichi.graphics/publication/2021-taichi-thesis/taichi-thesis.pdf
http://taichi.graphics/ Yuanming Hu 的 thesis
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**Concisely describe the proposed feature**
There are quite a few things to be completed in the documentation
- Sparse computation
- Debugging tools
- Differentiable programming
- Internal de…
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In the FAQ page, under the "Where can I learn more about AD?", there are 4 links that are broken:
- [Automatic Differentiation and Application](https://mitmath.github.io/18337/lecture8/automatic_di…
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Firstly, thanks for publicly releasing the instruction dataset.
While looking through the [dataset](https://huggingface.co/datasets/victor123/evol_instruct_70k), I've noticed several examples wher…
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I would like to propose an initial roadmap of the Automatic differe…
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Dear Taichi Development Team,
I am a Ph.D. student from China and a beginner in Taichi. I am currently studying the paper titled “DIFFTAICHI: DIFFERENTIABLE PROGRAMMING FOR PHYSICAL SIMULATION” p…
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On the Python side we have this lecture that motivates use of Python:
https://lectures.quantecon.org/py/about_py.html
It's about why rather than how. Perhaps the Julia side could benefit from s…
jstac updated
4 years ago
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Just like a polytope can be written as the finite disjoint union of relative interiors of its faces, we can write the feasible set of (well-behaved...) nonlinear optimization problems as the finite …