SteveTsui / RBONNLinks
☆16Updated 3 years ago
Alternatives and similar repositories for RBONN
Users that are interested in RBONN are comparing it to the libraries listed below
Sorting:
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆44Updated 4 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆94Updated 2 years ago
- ☆17Updated 3 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Updated 4 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 3 years ago
- ☆25Updated 4 years ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆44Updated 4 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆35Updated 3 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆15Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆36Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆104Updated 2 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆42Updated 3 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆48Updated last year
- ☆12Updated 2 years ago
- PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)☆73Updated 2 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆82Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Updated 5 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93Updated 3 years ago
- In progress.☆67Updated last year
- The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.☆14Updated 3 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆55Updated 2 years ago
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆55Updated 2 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆83Updated 3 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆61Updated 4 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 4 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆23Updated 2 years ago
- Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".☆19Updated 4 years ago