PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation
☆23Feb 17, 2020Updated 6 years ago
Alternatives and similar repositories for piecewise-quantization
Users that are interested in piecewise-quantization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A visualization and transformation of pytorch model☆30Jan 8, 2020Updated 6 years ago
- The code for Joint Neural Architecture Search and Quantization☆14Apr 10, 2019Updated 7 years ago
- ☆10Oct 23, 2017Updated 8 years ago
- ☆59Dec 8, 2020Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆264Oct 3, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Self-Distribution BNN☆10Mar 8, 2022Updated 4 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆131Jan 2, 2020Updated 6 years ago
- Neural Network Quantization With Fractional Bit-widths☆11Feb 19, 2021Updated 5 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Jan 20, 2019Updated 7 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆97Jun 10, 2021Updated 5 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- ☆42Jun 25, 2020Updated 6 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Jun 5, 2019Updated 7 years ago
- ☆28Oct 21, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Designs for finalist teams of the DAC System Design Contest☆37Jul 8, 2020Updated 6 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Nov 4, 2021Updated 4 years ago
- ☆13Apr 10, 2017Updated 9 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆42Mar 24, 2023Updated 3 years ago
- ☆20Oct 3, 2019Updated 6 years ago
- This repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.☆20Apr 7, 2021Updated 5 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Jan 3, 2022Updated 4 years ago
- ☆17Jul 10, 2022Updated 4 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆39Aug 20, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆35Mar 4, 2020Updated 6 years ago
- ☆11Jan 10, 2025Updated last year
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- ☆13Jul 20, 2023Updated 3 years ago
- [CVPR 2025] Official repository for GETA☆43Nov 5, 2025Updated 8 months ago
- nn2FPGA converts ONNX models into FPGA dataflow accelerators with seamless ONNX Runtime integration.☆21Jul 7, 2026Updated 2 weeks ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Mar 19, 2023Updated 3 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Dec 8, 2023Updated 2 years ago
- ☆23Oct 12, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆32Nov 17, 2019Updated 6 years ago
- ☆22Feb 11, 2022Updated 4 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Jan 17, 2026Updated 6 months ago
- Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," Interna…☆16Jan 8, 2021Updated 5 years ago
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆30Jul 23, 2021Updated 4 years ago
- ☆25May 20, 2020Updated 6 years ago
- [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang☆19Jun 23, 2021Updated 5 years ago