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
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Oct 3, 2023Updated 3 years ago
- Code to implement the experiments in "Post-training Quantization for Neural Networks with Provable Guarantees" by Jinjie Zhang, Yixuan Zh…☆10Jun 2, 2023Updated 3 years ago
- The code for Joint Neural Architecture Search and Quantization☆14Apr 10, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- source code of the paper: Robust Quantization: One Model to Rule Them All☆42Mar 24, 2023Updated 3 years ago
- ☆28Oct 21, 2020Updated 6 years ago
- ☆59Dec 8, 2020Updated 5 years ago
- ☆10Oct 23, 2017Updated 9 years ago
- 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
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Jan 20, 2019Updated 7 years ago
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆13Apr 10, 2017Updated 9 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆97Jun 10, 2021Updated 5 years ago
- ☆42Jun 25, 2020Updated 6 years ago
- A simple pytorch implementation of Differentiable Architecture Search (DARTS)☆22Aug 27, 2019Updated 7 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Nov 4, 2021Updated 4 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Jun 5, 2019Updated 7 years ago
- Designs for finalist teams of the DAC System Design Contest☆38Jul 8, 2020Updated 6 years ago
- Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"☆12Aug 18, 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
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- IOU as loss for object detection tasks and IOU as metric for object detection tasks☆24Mar 30, 2018Updated 8 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆39Aug 20, 2024Updated 2 years ago
- ☆17Jul 10, 2022Updated 4 years ago
- ☆35Mar 4, 2020Updated 6 years ago
- ☆23Sep 11, 2026Updated last month
- [CVPR 2025] Official repository for GETA☆45Nov 5, 2025Updated 11 months ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆31Nov 17, 2019Updated 6 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆282Dec 8, 2023Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆304Aug 1, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆50Oct 22, 2020Updated 6 years ago
- ☆13Jul 20, 2023Updated 3 years 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
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆63Mar 19, 2023Updated 3 years ago
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆30Jul 23, 2021Updated 5 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Jan 17, 2026Updated 9 months ago
- ☆17May 28, 2018Updated 8 years ago