[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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Aug 30, 2024 - C++
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hardware-aware
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Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
pytorch quantization hessian 8-bit model-compression distillation tvm 4-bit mixed-precision tensorcore quantized-neural-networks hardware-aware efficient-neural-networks
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May 15, 2023 - Python
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
natural-language-processing machine-translation transformer specialization efficient-model hardware-aware
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Jul 14, 2024 - Python
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
machine-learning deep-learning neural-architecture-search meta-learning hardware-aware efficient-deep-learning
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Aug 5, 2024 - Python
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
machine-learning localization uav neural-network robotics bayesian-optimization barometer odometry inertial-sensors inertial-navigation-systems pressure-sensor dead-reckoning neural-architecture-search uuv inertial-odometry hardware-aware temporal-convolutional-network tinyml pedestrian-dead-reckoning tensorflow-lite-micro
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May 10, 2023 - C++
π Zero-config automatic memory allocator for Rust - just add one line and get up to 1.6x faster allocation performance across all platforms
rust performance embedded cross-platform high-performance wasm allocator automatic memory-management zero-config no-std systems-programming memory-optimization hardware-aware mimalloc
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Jul 1, 2025 - Rust
[SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
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Nov 3, 2021 - Jupyter Notebook
pipeDejavu: Hardware-aware Latency Predictable, Differentiable Search for Faster Config and Convergence of Distributed ML Pipeline Parallelism
python deep-learning linear-regression pytorch dynamic-programming predictive-modeling data-parallelism sampling-methods model-parallelism distributed-training differentiable-programming pipeline-parallelism hardware-aware parallel-optmization random-initialization baysian-optimisation differentiable-dynamic-programming
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May 9, 2023 - Jupyter Notebook
Optimize memory allocation in Rust with Auto-Allocator. Enjoy smart, platform-aware performance boosts effortlessly. ππ
rust performance embedded cross-platform simple high-performance new preprocessor allocator automatic memory-management yii2-asset zero-config no-std systems-programming memory-optimization hardware-aware mimalloc
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Oct 16, 2025 - Rust
In this repo you will understand .The process of reducing the precision of a modelβs parameters and/or activations (e.g., from 32-bit floating point to 8-bit integers) to make neural networks smaller, faster, and more energy-efficient with minimal accuracy loss.
deep-learning neural-networks quantization zero-shot model-compression mixed-precision edge-ai hardware-aware data-free model-optimization quantization-aware-training post-training-quantization efficient-ai
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Aug 11, 2025
Generating neural networks for diverse networking classification tasks via hardware-aware neural architecture search, Transactions on Computers 2023
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Jun 16, 2024 - Makefile
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