charbel-sakr / Fixed-Point-TrainingLinks
Code needed to reproduce results from my ICLR 2019 paper on fixed-point quantization of the backprop algorithm.
☆10Updated 6 years ago
Alternatives and similar repositories for Fixed-Point-Training
Users that are interested in Fixed-Point-Training are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 5 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
- ☆39Updated 2 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆29Updated 4 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆41Updated 4 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Updated 6 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- ☆36Updated 6 years ago
- ☆57Updated 4 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Neural Network Quantization With Fractional Bit-widths☆12Updated 4 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆36Updated 2 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆14Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆55Updated 5 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 4 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆99Updated 4 years ago
- ☆46Updated 5 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- ☆44Updated 4 years ago
- ☆76Updated 3 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 6 years ago
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 3 years ago