automl / awesome-transformer-search
A curated list of awesome resources combining Transformers with Neural Architecture Search
☆263Updated last year
Alternatives and similar repositories for awesome-transformer-search:
Users that are interested in awesome-transformer-search are comparing it to the libraries listed below
- Neural Architecture Search (NAS) papers with code☆157Updated 3 years ago
- Zero-Cost Proxies for Lightweight NAS☆147Updated last year
- Paper lists of neural architecture search (NAS)☆128Updated 3 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆109Updated last year
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆104Updated 3 years ago
- ☆76Updated 10 months ago
- A research library for pytorch-based neural network pruning, compression, and more.☆160Updated 2 years ago
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆177Updated 2 years ago
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)☆36Updated 2 years ago
- NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several …☆540Updated 3 months ago
- aw_nas: A Modularized and Extensible NAS Framework☆247Updated last year
- ☆36Updated 2 years ago
- A curated list of Early Exiting papers, benchmarks, and misc.☆104Updated last year
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆181Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆109Updated last year
- Awesome Neural Architecture Search Papers☆400Updated last year
- A library for researching neural networks compression and acceleration methods.☆140Updated 5 months ago
- ☆201Updated 2 years ago
- [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing☆331Updated 7 months ago
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆167Updated 3 years ago
- AlphaNet Improved Training of Supernet with Alpha-Divergence☆97Updated 3 years ago
- code for NASViT☆67Updated 2 years ago
- Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models☆66Updated last year
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆87Updated last year
- A general and accurate MACs / FLOPs profiler for PyTorch models☆596Updated 9 months ago
- ☆222Updated 6 months ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆505Updated 5 months ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆58Updated last year
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Updated 4 years ago
- ☆199Updated 3 years ago