IHIaadj / HW-PR-NASLinks
HW-PR-NAS is a single surrogate model trained to Pareto rank the architectures based on Accuracy, Latency and energy consumption
☆14Updated 3 years ago
Alternatives and similar repositories for HW-PR-NAS
Users that are interested in HW-PR-NAS are comparing it to the libraries listed below
Sorting:
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆113Updated 2 years ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆81Updated 4 years ago
- ☆20Updated 3 years ago
- ☆27Updated 2 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆41Updated 4 years ago
- ☆17Updated 3 years ago
- ☆76Updated 3 years ago
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- Quantization in the Jagged Loss Landscape of Vision Transformers☆13Updated 2 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆62Updated 2 years ago
- Neural Network Quantization With Fractional Bit-widths☆11Updated 4 years ago
- ☆43Updated last year
- EQ-Net [ICCV 2023]☆30Updated 2 years ago
- AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.☆13Updated 3 years ago
- ☆25Updated last year
- DeiT implementation for Q-ViT☆25Updated 6 months ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆28Updated last year
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆137Updated 4 years ago
- ☆40Updated 2 years ago
- [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation☆11Updated 2 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆133Updated 3 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆94Updated last year
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- [ICCAD'22 TinyML Contest] Efficient Heart Stroke Detection on Low-cost Microcontrollers☆14Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆59Updated 2 years ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆33Updated 3 years ago