☆45Jan 17, 2020Updated 6 years ago
Alternatives and similar repositories for AutoBNN
Users that are interested in AutoBNN 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 code for paper: Full-Stack Filters to Build Minimum Viable CNNs☆16Sep 10, 2019Updated 7 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Jan 5, 2021Updated 5 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆18Sep 17, 2019Updated 7 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆185Mar 28, 2021Updated 5 years ago
- Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy☆16Jan 27, 2019Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- PyTorch code for full quantization of DNN using BCGD☆14Jul 24, 2019Updated 7 years ago
- This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.☆170Jul 7, 2021Updated 5 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆246Aug 30, 2022Updated 4 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Sep 17, 2018Updated 8 years ago
- ☆35Mar 4, 2020Updated 6 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆180Sep 11, 2026Updated last month
- ☆13Mar 8, 2020Updated 6 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆76Dec 8, 2019Updated 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
- 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 code of the paper: Robust Quantization: One Model to Rule Them All☆42Mar 24, 2023Updated 3 years ago
- ☆10Aug 4, 2020Updated 6 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆165Mar 8, 2020Updated 6 years ago
- 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
- ☆28Oct 21, 2020Updated 5 years ago
- Code for computing the hidden biases in deep networks and its applications☆14Feb 23, 2023Updated 3 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆30Feb 19, 2021Updated 5 years ago
- ☆15Jan 8, 2020Updated 6 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 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.
- Reference implementations of popular Binarized Neural Networks☆108Jun 16, 2026Updated 3 months ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆264Oct 3, 2023Updated 3 years ago
- ShaResNet: reducing residual network parameter number by sharing weights☆32Mar 6, 2017Updated 9 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆282Dec 8, 2023Updated 2 years ago
- A pytorch implementation of dorefa quantization☆114Dec 30, 2019Updated 6 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Oct 7, 2019Updated 7 years ago
- An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…☆10Dec 18, 2019Updated 6 years ago
- ☆19May 28, 2020Updated 6 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆265Nov 11, 2021Updated 4 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.
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆131Jan 2, 2020Updated 6 years ago
- ☆59Dec 8, 2020Updated 5 years ago
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated 2 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆158Feb 1, 2022Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 5 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆61Jul 27, 2020Updated 6 years ago
- Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)☆78Sep 10, 2019Updated 7 years ago