awesome-tensor-compilers
Browse a comprehensive list of projects and papers focused on advancements in tensor computation and deep learning compilers. Discover open source tools such as TVM, MLIR, and Triton, as well as research on optimization techniques for CPU, GPU, and NPU, and graph-level improvements. Engage with tutorials and contribute to this dynamic field, perfectly suited for researchers, developers, and enthusiasts keen on leveraging innovative solutions in machine learning compiler optimization.