Show HN: Optional AI accelerator support without PyTorch (ONNX and NumPy) (github.com)

A new development has emerged in the AI/ML community with the introduction of optional AI accelerator support without the reliance on PyTorch. The tool, facilitated through the `compute_backend.py` script, allows users to enable hardware acceleration for neural calculations simply by modifying a line in a configuration file. This streamlined approach supports multiple backends, including NumPy and ONNX, enhancing accessibility for users across various platforms, including Windows, macOS, and Linux. Installation commands for specific configurations ensure compatibility with diverse hardware setups, from NVIDIA and AMD GPUs to Apple's M1-M4 chips. This advancement is significant because it broadens the scope for AI applications beyond those tied to PyTorch, offering flexibility and ease of use for developers seeking efficient computation methods. By allowing alternatives for hardware acceleration without the need for extensive installation protocols, it democratizes access to performance optimization tools, encouraging wider experimentation and implementation of AI models. The clear documentation and support for major hardware configurations position this tool as a valuable resource for researchers and developers looking to leverage enhanced computational power in their AI projects.