walkerning / aw_nas
aw_nas: A Modularized and Extensible NAS Framework
☆247Updated last year
Alternatives and similar repositories for aw_nas:
Users that are interested in aw_nas are comparing it to the libraries listed below
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆109Updated last year
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆157Updated 4 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆379Updated 4 years ago
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆168Updated 3 years ago
- Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models☆66Updated last year
- SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.☆245Updated 3 years ago
- Zero-Cost Proxies for Lightweight NAS☆148Updated last year
- Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search☆174Updated last year
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆276Updated last year
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆178Updated 2 years ago
- ☆262Updated 5 years ago
- Quantization of Convolutional Neural networks.☆243Updated 6 months ago
- A pytorch implementation of DoReFa-Net☆134Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆260Updated last year
- ☆67Updated 4 years ago
- A PyTorch implementation of NASBench☆52Updated last year
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆436Updated 4 years ago
- ☆213Updated 6 years ago
- PyTorch port of "Efficient Neural Architecture Search via Parameters Sharing"☆53Updated 6 years ago
- This repo contains the PyTorch implementation of the SNAS-Series papers☆149Updated 4 years ago
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆104Updated 3 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆48Updated 2 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 years ago
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆103Updated 3 years ago
- ☆224Updated 3 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 3 years ago
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆362Updated 5 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆183Updated 3 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆439Updated last year
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago