[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
☆336Jul 14, 2024Updated last year
Alternatives and similar repositories for hardware-aware-transformers
Users that are interested in hardware-aware-transformers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2020] Lite Transformer with Long-Short Range Attention☆610Jul 11, 2024Updated last year
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,944Dec 14, 2023Updated 2 years ago
- [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion☆41Feb 26, 2021Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆160Jun 16, 2020Updated 5 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,449Aug 30, 2024Updated last year
- Count the MACs / FLOPs of PyTorch models☆635Mar 11, 2026Updated 2 weeks ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆403Feb 26, 2021Updated 5 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆116Apr 18, 2023Updated 2 years ago
- AlphaNet Improved Training of Supernet with Alpha-Divergence☆99Aug 12, 2021Updated 4 years ago
- (CVPR 2021, Oral) Dynamic Slimmable Network☆231Dec 31, 2021Updated 4 years ago
- Mobile vision models and code☆920Feb 11, 2026Updated last month
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆929Mar 9, 2023Updated 3 years ago
- ☆266Oct 30, 2019Updated 6 years ago
- Code for ViTAS_Vision Transformer Architecture Search☆51Jul 22, 2021Updated 4 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆448Nov 22, 2023Updated 2 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆395Dec 14, 2020Updated 5 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆715May 1, 2023Updated 2 years ago
- DeLighT: Very Deep and Light-Weight Transformers☆469Oct 16, 2020Updated 5 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆169Feb 26, 2021Updated 5 years ago
- ☆35Mar 4, 2020Updated 6 years ago
- Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search☆177Oct 3, 2023Updated 2 years ago
- code for NASViT☆67Apr 25, 2022Updated 3 years ago
- Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accele…☆11Mar 3, 2024Updated 2 years ago
- [CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs☆1,118Jun 5, 2024Updated last year
- [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'☆220Jun 8, 2020Updated 5 years ago
- (CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation☆237Sep 23, 2021Updated 4 years ago
- Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)☆294Jul 4, 2020Updated 5 years ago
- Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Search…☆151Mar 27, 2020Updated 5 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆199Apr 27, 2022Updated 3 years ago
- Repository for the paper "Optimal Subarchitecture Extraction for BERT"☆470Jun 22, 2022Updated 3 years ago
- [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment☆25Jan 5, 2023Updated 3 years ago
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆183Apr 25, 2022Updated 3 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Nov 15, 2020Updated 5 years ago
- The code for Joint Neural Architecture Search and Quantization☆14Apr 10, 2019Updated 6 years ago
- ☆1,104Nov 29, 2023Updated 2 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,588Apr 24, 2022Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 5 years ago
- Simulator for BitFusion☆101Aug 6, 2020Updated 5 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Jun 5, 2019Updated 6 years ago