aininot260

cuda-cnn

This is a convolutional neural network implemented using C and CUDA.The model is deployed on embedded devices.

c-cnn

This is a convolutional neural networks written in C. It's very helpful for begineers to understand deep learning. This code can be run in DSP and other resource-constrained devices. It contains the full pipeline of mnist training and testing.

cuda-gemm

This is a c and cuda implement of matrix multiple. The c implement is optimated for embedded device's sram and cuda implement is optimated for GPU's shared memory.

cufft-benchmark

This is the cufft benchmark comparing with half16 and float32.

qtwebengine-echarts-demo

This is the demo for showing the usage of integrating echarts in QT project. This demo can use the rich drawing characteristics of echarts to draw 3D scattered point and 3D polyline diagram.

demo

e200_opensource

Deprecated, please go to next generation Ultra-Low Power RISC-V Core https://github.com/riscv-mcu/e203_hbirdv2

pyinstaller-hooks-contrib

Community maintained hooks for PyInstaller.