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KISS! A local retrieval layer for AI code assistants. No cloud, no embedding magic, no subscription for what ctags used to do.
Python
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Collection of CUDA C++ custom and standart operations for training and inference on NVIDIA GPUs, from Maxwell to Hopper (sm_50 .. sm_90; support varies by operation). Use them directly from C / C++…
Cuda
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NVFP4 GEMM, GEMV, linear layers and quantization for NVIDIA GPUs without native FP4 (sm_50–sm_90): every NVIDIA NVFP4 variant (ModelOpt, Transformer Engine 1x16 / 16x16, 4over6, swizzled scales) bi…
Cuda
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FP8 (E5M2 and E4M3, any pairing) GEMM, GEMV and fused AdamW for NVIDIA GPUs without native FP8 (sm_50–sm_87, Maxwell to Ampere): exact products, FP32 accumulation, TE HYBRID backward, C API and PyT…
Cuda
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FP8 (E4M3) GEMM, GEMV and fused AdamW for NVIDIA GPUs without native FP8 (sm_50–sm_87, Maxwell to Ampere): exact products, FP32 accumulation, C API and PyTorch bindings incl. torch._scaled_mm and F…
Cuda
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A comprehensive coding style and operational protocol for AI agents — mandatory rules, best practices, and language-specific guidance to produce maintainable, secure, and reliable code.
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