Example for applying Gaussian and Laplace clipping on activations of CNN.
☆34Jan 20, 2019Updated 7 years ago
Alternatives and similar repositories for AnalyticalScaleForIntegerQuantization
Users that are interested in AnalyticalScaleForIntegerQuantization are comparing it to the libraries listed below
Sorting:
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆55Jul 23, 2023Updated 2 years ago
- ☆57Dec 8, 2020Updated 5 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆113Mar 21, 2020Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 5 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Sep 17, 2018Updated 7 years ago
- All about acceleration and compression of Deep Neural Networks☆33Nov 5, 2019Updated 6 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆23Feb 17, 2020Updated 6 years ago
- A visualization and transformation of pytorch model☆30Jan 8, 2020Updated 6 years ago
- Related Paper of Efficient Deep Neural Networks☆86Jun 19, 2021Updated 4 years ago
- Caffe implementation of Optimal-Ternary-Weights-Approximation in "Two-Step Quantization for Low-bit Neural Networks" (CVPR2018).☆14Sep 21, 2018Updated 7 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆37Nov 8, 2019Updated 6 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆170Dec 9, 2019Updated 6 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆292Aug 1, 2021Updated 4 years ago
- ☆43Jan 30, 2024Updated 2 years ago
- Some recent Quantizing techniques on PyTorch☆72Sep 8, 2019Updated 6 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Mar 24, 2023Updated 2 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- ☆213Nov 23, 2018Updated 7 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Jul 25, 2019Updated 6 years ago
- ☆12Nov 22, 2022Updated 3 years ago
- ☆48Jul 28, 2020Updated 5 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93May 5, 2022Updated 3 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Mar 8, 2020Updated 6 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆128Jan 2, 2020Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Aug 30, 2022Updated 3 years ago
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆30Jul 23, 2021Updated 4 years ago
- DL quantization for pytorch☆26Mar 30, 2019Updated 6 years ago
- BitSplit Post-trining Quantization☆50Dec 20, 2021Updated 4 years ago
- SQuant [ICLR22]☆131Sep 27, 2022Updated 3 years ago
- 2020 xilinx summer school☆19Aug 13, 2020Updated 5 years ago
- ☆26Dec 29, 2019Updated 6 years ago
- ☆14Oct 6, 2023Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆282Dec 8, 2023Updated 2 years ago
- Arch-Net: Model Distillation for Architecture Agnostic Model Deployment☆23Nov 4, 2021Updated 4 years ago
- Model Quantization Benchmark☆861Apr 20, 2025Updated 10 months ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago