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Code release for book "Efficient Training in PyTorch"
Pipeline parallelism for the minimalist
Demos of calling c extension in python using ctypes/pybind11/cpython
Implement "A multi-level solution algorithm for steady-state markov chains" by Graham Horton etc.
Repositories
51Code release for book "Efficient Training in PyTorch"
Pipeline parallelism for the minimalist
Implement "A multi-level solution algorithm for steady-state markov chains" by Graham Horton etc.
No description provided.
Demos of calling c extension in python using ctypes/pybind11/cpython
No description provided.
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My dotfiles
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Awesome ShaderToy Demos written in Taichi
Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs
This is a Instants-NGP renderer implemented using Taichi
A minimal Taichi AOT project.
Fusing Taichi into PyTorch
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The CUDA version of the RWKV language model ( https://github.com/BlinkDL/RWKV-LM )
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A 3D sparse LBM solver implemented using Taichi
A demo illustrating how to use Taichi as an AOT shader compiler
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High-performance multi-material continuum physics engine in Taichi
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
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A Taichi extension library providing a set of GLSL-alike helper functions
TaichiCon: Taichi Conferences
Submit stacked diffs to GitHub on the command line