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── 99259 repos indexed ── | filtered by tag: #gpu-kernel-compilation
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tinygrad/tinygrad ★ 33716 4364 APPLICATION

tinygrad is a deep learning framework that provides a full-stack solution from tensor operations and automatic differentiation to a custom compiler stack that generates optimized GPU kernels for multiple backends (CUDA, HIP, Metal, WebGPU, etc.). It includes a JIT compiler (TinyJit), a universal operation IR (UOp) for graph rewriting and custom kernel authoring, and a suite of neural network layers, optimizers, and datasets. The repository also contains extensive MLPerf benchmark implementations, a LLM server with streaming, and low-level hardware interaction tools (AMD firmware flashing, GPU profiling). It is primarily a software library for training and inference, with a strong research component in kernel optimization and hardware exploration.

RATING: 9.9/10 MAINT: active DRIFT: low
#deep-learning-framework #gpu-kernel-compilation #jit-compiler #tensor-library #mlperf #custom-kernels #pattern-matching
▸ 5 reusable components found
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