This repository aggregates compiler projects and academic papers focused on tensor computation and deep learning. It covers open-source compilers such as TVM, MLIR, XLA, Halide, Glow, Triton, and others, alongside research organized into topics including auto-tuning, cost modeling, CPU/GPU/NPU optimization, quantization, and distributed computing. It serves as a reference hub for developers working on ML compilation, code generation, and performance optimization in machine learning systems.