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machine-learning-compiler
Here are 9 public repositories matching this topic...
Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into efficient execution plans.
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Oct 3, 2022 - Cuda
Opensource end-to-end ML compiler.
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May 10, 2022 - C++
Tensor compiler using JIT kernel generation for ARM processors
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Nov 7, 2025 - C++
Machine Learning Compilers
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Nov 4, 2024 - C++
An MLIR-based Compiler Infrastructure for Neural Networks
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Aug 20, 2026 - C++
TensorWright is a cross-layer debugging platform for quantized AI accelerators. It compares bit-accurate ONNX reference results with SystemVerilog RTL execution to locate numerical and streaming-protocol failures, recommend fixes, generate regressions, and produce interactive verification dashboards.
fpga systemverilog hardware-acceleration verilator onnx hardware-verification rtl-design machine-learning-compiler int8-quantization tensorwright
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Aug 3, 2026 - Python
A Mini Machine Learning Compiler with Hardware-Aware Optimization
python c machine-learning code-generator compiler intermediate-representation machine-learning-compiler
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Mar 27, 2026 - Python
ONNX2MLIR dialect mappings for composable optimizations
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Aug 31, 2026 - C++
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