A simple network quantization demo using pytorch from scratch.
☆543Jun 18, 2023Updated 3 years ago
Alternatives and similar repositories for pytorch-quantization-demo
Users that are interested in pytorch-quantization-demo are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,266May 6, 2025Updated last year
- Model Quantization Benchmark☆879Apr 20, 2025Updated last year
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,815Mar 28, 2024Updated 2 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆316May 8, 2024Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Batch Normalization Auto-fusion for PyTorch☆32Apr 14, 2020Updated 6 years ago
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,424Jul 10, 2026Updated last month
- Post-Training Quantization for Vision transformers.☆245Jul 19, 2022Updated 4 years ago
- PyTorch Quantization Aware Training Example☆150May 18, 2024Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆300Aug 1, 2021Updated 5 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆132Sep 23, 2025Updated 10 months ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆264Oct 3, 2023Updated 2 years ago
- Summary, Code for Deep Neural Network Quantization☆564Aug 6, 2026Updated last week
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,679Updated this week
- 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.
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆360Apr 11, 2023Updated 3 years ago
- A nnie quantization aware training tool on pytorch.☆235Dec 10, 2020Updated 5 years ago
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆407Nov 22, 2022Updated 3 years ago
- ☆14Feb 3, 2022Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Dec 8, 2023Updated 2 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆288Dec 11, 2024Updated last year
- A pytorch implementation of DoReFa-Net☆133Dec 26, 2019Updated 6 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 5 years ago
- DL quantization for pytorch☆26Mar 30, 2019Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆61Mar 23, 2023Updated 3 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆464May 15, 2023Updated 3 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Dec 18, 2020Updated 5 years ago
- A model compression and acceleration toolbox based on pytorch.☆331Jan 12, 2024Updated 2 years ago
- Brevitas: neural network quantization in PyTorch☆1,563Aug 7, 2026Updated last week
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆139Apr 28, 2022Updated 4 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Jun 22, 2022Updated 4 years ago
- A curated list of neural network pruning resources.☆2,498Apr 4, 2024Updated 2 years ago
- LSQ+ or LSQplus☆83Aug 8, 2026Updated last week
- 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.
- ☆213Nov 9, 2021Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93May 5, 2022Updated 4 years ago
- [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.☆3,343Sep 7, 2025Updated 11 months ago
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆52Nov 2, 2022Updated 3 years ago
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆408Feb 26, 2021Updated 5 years ago
- List of papers related to neural network quantization in recent AI conferences and journals.☆842Mar 27, 2025Updated last year