benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
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Updated
Feb 18, 2021 - Python
benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
bi-weekly reports for embedded-ai. https://www.ai-performance.com/embedded-ai.bi-weekly/
web site of AI-performance. https://ai-performance.gitee.io/
Funicorn - Simplified Deep Learning Inference Service
CUDA C++ practice project for RTX 4070 SUPER — explore GPU concurrency, pinned memory, and Nsight profiling. Includes SAXPY and 2D blur kernels to train optimization, stream overlap, and timing analysis for NVIDIA Developer Technology Engineering skillset.
This GitHub repository showcases a Convolutional Neural Network (CNN) implemented in RISC-V assembly, leveraging the Vector Extension (RVV). The project focuses on efficient deep learning inference on RISC-V platforms. It aims to demonstrate the feasibility of mapping CNN operations to low-level RISC-V instructions for embedded AI applications.
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