VDIGPKU / NAS-BNNLinks
The official implementation of "NAS-BNN: Neural Architecture Search for Binary Neural Networks"
☆13Updated last year
Alternatives and similar repositories for NAS-BNN
Users that are interested in NAS-BNN are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Updated last year
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆16Updated 3 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 4 years ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 3 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Updated 5 years ago
- ☆26Updated 3 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- [CVPR 2024] Offical implementation for A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network☆25Updated 9 months ago
- Pytorch implementation of RAPQ, IJCAI 2022☆23Updated 2 years ago
- Neural Network Quantization With Fractional Bit-widths☆12Updated 4 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- ☆17Updated 2 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆21Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆34Updated last year
- ☆53Updated last year
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆13Updated 7 months ago
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆33Updated 9 months ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Updated 2 years ago
- super-resolution; post-training quantization; model compression☆12Updated last year
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆26Updated 2 years ago
- DeiT implementation for Q-ViT☆25Updated 5 months ago
- ☆28Updated 3 years ago
- ☆76Updated 3 years ago
- Structured Binary Neural Networks for Image Recognition☆18Updated 3 years ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 6 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆38Updated last year
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆72Updated 3 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆96Updated 2 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 4 years ago
- ☆19Updated 4 years ago