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Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
A scalable High-Level Synthesis framework on MLIR
An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
This is a CIM-Accelerator Compiler based on TVM.
Example showing the different stages of Relay and TVM IR for a single program.
Simulation of spiking neural networks (SNNs) using PyTorch.
LCAI-TIHU SW is a software stack of the AI inference processor based on RISC-V
STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize SNNS with QAT to deploy to neuromorphological chips like Loi…
Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
《Machine Learning Systems: Design and Implementation》- Chinese Version
TinySNN lets you build tiny spiking neural networks in C.
This project is written in pure C++. The input is a TVM compiled runtime module, and the output will be the evaluated inference time.