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mkl-dnn

Deep Neural Network Library (DNNL)

mnn

MNN is a lightweight deep neural network inference engine.

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

nnpack

Acceleration package for neural networks on multi-core CPUs

optical-flow

自己开发的一个光流算法

paddle

PArallel Distributed Deep LEarning （PaddlePaddle核心框架，高性能单机、分布式训练和跨平台部署）

ppopp2017_artifact

Third party assembler and GEMM library for NVIDIA Kepler GPU

programming

project-based-tutorials-in-c

A curated list of project-based tutorials in C

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tensorflow

Computation using data flow graphs for scalable machine learning

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

tpucontest

turingas

Assembler for NVIDIA Volta and Turing GPUs

tvm_mlir_learn

tvm learn

vulkan-tutorial

This is a series of tutorials on Vulkan, include all example projects which step by step.

vulkan_minimal_compute

Minimal Example of Using Vulkan for Compute Operations. Only ~400LOC.

vulkansamples

Vulkan Samples

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.