Qualcomm-AI-research / BayesianBits
☆20Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for BayesianBits
- ☆68Updated 2 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆36Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆32Updated last year
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆95Updated 3 years ago
- ☆42Updated 9 months ago
- Neural Network Quantization With Fractional Bit-widths☆12Updated 3 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 4 years ago
- Post-training sparsity-aware quantization☆33Updated last year
- Any-Precision Deep Neural Networks (AAAI 2021)☆56Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆124Updated 4 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 6 months ago
- ☆47Updated 4 years ago
- Quantization in the Jagged Loss Landscape of Vision Transformers☆10Updated last year
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 2 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆57Updated 4 years ago
- ☆38Updated last year
- ☆18Updated 2 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆67Updated 3 years ago
- Reproducing Quantization paper PACT☆56Updated 2 years ago
- BitSplit Post-trining Quantization☆47Updated 2 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆254Updated 3 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆28Updated 5 years ago
- ☆47Updated 2 years ago
- A pytorch implementation of DoReFa-Net☆131Updated 4 years ago
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆32Updated 2 years ago
- DeiT implementation for Q-ViT☆23Updated 2 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆54Updated 5 years ago