Ruichen0424 / AB-BNNLinks
[CVPR 2024] Official implementation for "A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network"
☆24Updated 3 weeks ago
Alternatives and similar repositories for AB-BNN
Users that are interested in AB-BNN are comparing it to the libraries listed below
Sorting:
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Updated 5 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated 2 years ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆38Updated last year
- ☆18Updated 2 years ago
- Offical implementation of High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference C…☆21Updated 7 months ago
- DeiT implementation for Q-ViT☆25Updated 8 months ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Updated 2 years ago
- ☆17Updated 3 years ago
- LSQ+ or LSQplus☆77Updated 10 months ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92Updated last year
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆25Updated 3 years ago
- Neural Network Quantization With Fractional Bit-widths☆11Updated 4 years ago
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆69Updated 2 years ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆35Updated 3 years ago
- Official repository of SpikeZIP-TF in ICML2024☆47Updated last year
- ☆41Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆17Updated last year
- ☆19Updated 4 years ago
- ☆31Updated 8 months ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- ☆21Updated 3 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Updated 3 years ago
- ☆55Updated 3 years ago
- This is an implementation of YOLO using LSQ network quantization method.☆22Updated 3 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆16Updated last year
- A FPGA-based neural network inference accelerator, which won the third place in DAC-SDC☆28Updated 3 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆136Updated 3 years ago
- AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.☆13Updated 4 years ago
- Structured Binary Neural Networks for Image Recognition☆18Updated 4 years ago