PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
☆56Aug 17, 2019Updated 7 years ago
Alternatives and similar repositories for QuanTorch
Users that are interested in QuanTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Oct 3, 2023Updated 3 years ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- Code needed to reproduce results from my ICLR 2019 paper on fixed-point quantization of the backprop algorithm.☆10Jan 24, 2019Updated 7 years ago
- Summary, Code for Deep Neural Network Quantization☆562Sep 1, 2026Updated 2 months ago
- A pytorch implementation of DoReFa-Net☆133Dec 26, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50May 9, 2024Updated 2 years ago
- Simulate quantization and quantization aware training for MXNet-Gluon models.☆44Apr 17, 2020Updated 6 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆465May 15, 2023Updated 3 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆131Jan 2, 2020Updated 6 years ago
- ☆213Nov 23, 2018Updated 7 years ago
- PyTorch code for full quantization of DNN using BCGD☆14Jul 24, 2019Updated 7 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆18Oct 7, 2020Updated 6 years ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,262May 6, 2025Updated last year
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆164Mar 8, 2020Updated 6 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.
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆61Jul 27, 2020Updated 6 years ago
- Official Pytorch Implementation for Continual Learning For On-Device Environmental Sound Classification☆14Jul 19, 2022Updated 4 years ago
- ☆10Jan 24, 2025Updated last year
- A bare metal programming guide on STM32 microcontroller☆10Dec 6, 2022Updated 3 years ago
- Training models with ternary quantized weights using PyTorch☆15Jun 12, 2019Updated 7 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆11Jun 1, 2021Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆282Dec 8, 2023Updated 2 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆37May 19, 2022Updated 4 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆113Mar 21, 2020Updated 6 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.
- Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch☆28Jan 31, 2022Updated 4 years ago
- YOLOv3 quantization model v10, only for quantization off-line☆21Jul 24, 2019Updated 7 years ago
- Deployment of Deep learning Image Super-Resolution Models in Xilinx Zynq MPSoC ZCU102☆18May 30, 2020Updated 6 years ago
- Stencil with Optimized Dataflow Architecture☆12Feb 27, 2024Updated 2 years ago
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated 2 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆54Jun 1, 2021Updated 5 years ago
- Pruning and quantization for SSD. Model compression.☆30Jan 28, 2021Updated 5 years ago
- ☆43Jan 30, 2024Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆304Aug 1, 2021Updated 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.
- Source codes used during the Coursera course titled "Developing FPGA-accelerated cloud applications with SDAccel: Theory"☆18Mar 11, 2019Updated 7 years ago
- A pytorch implementation of dorefa quantization☆114Dec 30, 2019Updated 6 years ago
- A simple network quantization demo using pytorch from scratch.☆545Jun 18, 2023Updated 3 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆160Jun 16, 2020Updated 6 years ago
- CNN Accelerator in Frequency Domain☆12Feb 22, 2020Updated 6 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Jan 22, 2019Updated 7 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆31Nov 17, 2019Updated 6 years ago
Are these results useful?