Deep Learning Frameworks and Runtime Optimization
9 repos
Python-dominant libraries and frameworks for building, training, and deploying neural networks, with a focus on tensor computation and GPU acceleration. The cluster includes heavyweight ML frameworks (PyTorch) alongside specialized runtimes optimized for inference and edge deployment (ExecuTorch, XNNPACK, NCNN), reflecting a pipeline from research and development to production inference across diverse hardware targets. Repositories span from high-level Python APIs to low-level C/C++ kernel implementations and mobile-specific optimizations.
C · 3
C++ · 3
Python · 2
OCaml · 1
deep-learning ·124,959
machine-learning ·124,661
gpu ·112,190
neural-network ·108,856
tensor ·108,558
autograd ·103,081
numpy ·103,081
python ·103,081
vulkan ·20,248
arm ·16,401
