aaronserianni / training-free-nasView external linksLinks
[ACL'22] Training-free Neural Architecture Search for RNNs and Transformers
☆14May 26, 2024Updated last year
Alternatives and similar repositories for training-free-nas
Users that are interested in training-free-nas are comparing it to the libraries listed below
Sorting:
- ☆18Nov 6, 2019Updated 6 years ago
- ☆36Jun 20, 2022Updated 3 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Dec 3, 2021Updated 4 years ago
- [ECMLPKDD 2020] "Topological Insights into Sparse Neural Networks"☆13May 2, 2022Updated 3 years ago
- [ICML2024] DetKDS: Knowledge Distillation Search for Object Detectors☆19Jul 11, 2024Updated last year
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 4 years ago
- Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"☆12Aug 18, 2021Updated 4 years ago
- ☆10Jul 25, 2024Updated last year
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Jun 5, 2019Updated 6 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Mar 24, 2023Updated 2 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Jul 25, 2024Updated last year
- Code for RepNAS☆14Dec 21, 2021Updated 4 years ago
- Auto-Prox-AAAI24☆14Apr 30, 2024Updated last year
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated last year
- ☆16Mar 9, 2021Updated 4 years ago
- ☆20Aug 16, 2021Updated 4 years ago
- ☆17Jul 10, 2022Updated 3 years ago
- ☆19May 11, 2021Updated 4 years ago
- PyTorch implementation for OD-cheap-convolution.☆20Sep 29, 2019Updated 6 years ago
- [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy☆21Nov 18, 2019Updated 6 years ago
- Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)☆20Mar 1, 2023Updated 2 years ago
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆22Dec 6, 2024Updated last year
- Are gradient information useful for pruning of LLMs?☆47Aug 23, 2025Updated 5 months ago
- ☆19Mar 5, 2019Updated 6 years ago
- ☆24Feb 23, 2023Updated 2 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Nov 15, 2020Updated 5 years ago
- A simple pytorch implementation of Differentiable Architecture Search (DARTS)☆22Aug 27, 2019Updated 6 years ago
- Single Path One-Shot NAS MXNet implementation with Supernet training and searching☆19Dec 23, 2019Updated 6 years ago
- ☆26Apr 12, 2022Updated 3 years ago
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆20Feb 16, 2024Updated 2 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆23Apr 25, 2023Updated 2 years ago
- The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…☆20Sep 18, 2023Updated 2 years ago
- Code of our Neurips2020 paper "Auto Learning Attention", coming soon☆22Apr 14, 2021Updated 4 years ago
- [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang☆19Jun 23, 2021Updated 4 years ago
- ☆18Oct 16, 2019Updated 6 years ago
- [CVPR 2021]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection☆45Feb 21, 2024Updated last year
- ☆22Jul 15, 2020Updated 5 years ago
- Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)☆18Mar 21, 2018Updated 7 years ago
- ☆26Dec 10, 2020Updated 5 years ago