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MLIR dialect for data-flow engine design
ncnn is a high-performance neural network inference framework optimized for the mobile platform
A free book that talks about design patterns/techniques used while developing with React.
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎)
A retargetable MLIR-based machine learning compiler and runtime toolkit.
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
SHARK Studio -- Web UI for SHARK+IREE High Performance Machine Learning Distribution
Machine learning on FPGAs using HLS
A system design tool that allows you to simulate data flow of distributed systems.
Silice is an easy-to-learn, powerful hardware description language, that simplifies designing hardware algorithms with parallelism and pipelines.
Brevitas: neural network quantization in PyTorch