MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
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Updated
May 22, 2024 - C++
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
High Performance Computing (HPC) and Signal Processing Framework
Active Convolution
Blazing-fast Expression Templates Library (ETL) with GPU support, in C++
This project implements a convolution kernel based on vivado HLS on zcu104
Reverb effect using hybrid impulse convolution
An example of C++ extension for PyTorch.
A C++ library that produces images based on different luminosity profiles
C++ header only template library designed to make it easier to write high-performance SIMD (SSE, AVX, Neon) and multi-threaded code.
Permutohedral Lattice for filtering. http://graphics.stanford.edu/papers/permutohedral/
🌠 Bloom Simulation Software for Windows
Implementation of an efficient convolution between 3D tensors and 4D tensors.
2D and 3D Matrix Convolution and Matrix Multiplication with CUDA
Run 2D convolution layer with NNAPI
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