auto-tuning

Here are 11 public repositories matching this topic...

intel / neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

sparsity pruning quantization knowledge-distillation auto-tuning int8 low-precision quantization-aware-training post-training-quantization awq int4 large-language-models gptq smoothquant sparsegpt fp4 mxformat

Updated Jun 17, 2025
Python

KernelTuner / kernel_tuner

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Kernel Tuner

python c testing machine-learning cplusplus gpu optimization opencl cuda autotuning software-development opencl-kernels kernel-tuner cuda-kernels gpu-computing auto-tuning

Updated Jun 18, 2025
Python

ROCm / Tensile

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[DEPRECATED] Moved to ROCm/rocm-libraries repo

python machine-learning amd gpu assembly opencl dnn matrix-multiplication neural-networks gpu-acceleration blas hip gpu-computing tensors tensor-contraction gemm radeon auto-tuning

Updated Jun 17, 2025
Python

HAL-42 / AlchemyCat

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Alchemy Cat —— 🔥Config System for SOTA

config machine-learning computer-vision deep-learning auto-tuning parameter-tuning

Updated Mar 20, 2025
Python

tlc-pack / TLCBench

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Benchmark scripts for TVM

benchmark deep-learning auto-tuning tvm tuning-logs

Updated Mar 15, 2022
Python

Collective Knowledge crowd-tuning extension to let users crowdsource their experiments (using portable Collective Knowledge workflows) such as performance benchmarking, auto tuning and machine learning across diverse platforms with Linux, Windows, MacOS and Android provided by volunteers. Demo of DNN crowd-benchmarking and crowd-tuning:

iot machine-learning optimization collaboration collective-intelligence mobile-phones knowledge-sharing collective-knowledge auto-tuning mobile-devices crowdsource-experiments crowd-tuning crowd-benchmarking open-repository

Updated Jul 10, 2021
Python

cornell-zhang / uptune

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A Generic Distributed Auto-Tuning Infrastructure

python distributed-systems cpp heuristics auto-tuning

Updated Jul 29, 2021
Python

AutoTuningAssociation / autotuning_methodology

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This software package accompanies the paper "A Methodology for Comparing Auto-Tuning Optimization Algorithms" (https://doi.org/10.1016/j.future.2024.05.021), making the guidelines in the methodology easy to apply.

performance-metrics methodology optimization-algorithms auto-tuning performance-comparison performance-optimization