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Title: GitHub - forkdeeplearning/taichi: Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs

Open Graph Title: GitHub - forkdeeplearning/taichi: Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs

X Title: GitHub - forkdeeplearning/taichi: Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs

Description: Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs - forkdeeplearning/taichi

Open Graph Description: Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs - forkdeeplearning/taichi

X Description: Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs - forkdeeplearning/taichi

Opengraph URL: https://github.com/forkdeeplearning/taichi

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spatially sparse computinghttps://taichi.readthedocs.io/en/latest/sparse.html
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Andrew Sun (victoriacity)https://github.com/victoriacity
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Zhuo Wang (hietwll)https://github.com/hietwll
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Qiu Feng (Phonicavi)https://github.com/Phonicavi
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Yuanming Hu (yuanming-hu)https://github.com/yuanming-hu
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Yuanming Hu (yuanming-hu)https://github.com/yuanming-hu
Ye Kuang (k-ye)https://github.com/k-ye
彭于斌 (archibate)https://github.com/archibate
Mingkuan Xu (xumingkuan)https://github.com/xumingkuan
Kenneth Lozes (KLozes)https://github.com/KLozes
Yu Fang (squarefk)https://github.com/squarefk
[List of all contributors to Taichi]https://github.com/taichi-dev/taichi/graphs/contributors
Ark (StephenArk30)https://github.com/StephenArk30
彭于斌 (archibate)https://github.com/archibate
Danni Li (isdanni)https://github.com/isdanni
Chengchen Wang (rexwangcc)https://github.com/rexwangcc
万健洲 (ArkhamWJZ)https://github.com/ArkhamWJZ
[List of all contributors to the Simplified Chinese documentation of Taichi]https://github.com/taichi-dev/taichi-docs-zh-cn/graphs/contributors
Contributor Guidelineshttps://taichi.readthedocs.io/en/latest/contributor_guide.html
(SIGGRAPH Asia 2019) Taichi: High-Performance Computation on Sparse Data Structureshttps://yuanming.taichi.graphics/publication/2019-taichi/taichi-lang.pdf
[Video]https://youtu.be/wKw8LMF3Djo
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[Code]https://github.com/taichi-dev/taichi
(ICLR 2020) DiffTaichi: Differentiable Programming for Physical Simulationhttps://arxiv.org/abs/1910.00935
[Video]https://www.youtube.com/watch?v=Z1xvAZve9aE
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