Any-Precision Deep Neural Networks (AAAI 2021)
☆62May 2, 2020Updated 5 years ago
Alternatives and similar repositories for Any-Precision-DNNs
Users that are interested in Any-Precision-DNNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆42Dec 15, 2022Updated 3 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Aug 30, 2021Updated 4 years ago
- ☆12Aug 26, 2022Updated 3 years ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆49Mar 19, 2020Updated 6 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.
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆27Oct 24, 2019Updated 6 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Mar 24, 2023Updated 3 years ago
- Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy☆16Jan 27, 2019Updated 7 years ago
- ☆43Jan 30, 2024Updated 2 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation☆11Jan 6, 2023Updated 3 years ago
- BitSplit Post-trining Quantization☆50Dec 20, 2021Updated 4 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆60Jul 27, 2020Updated 5 years ago
- ☆22Oct 26, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Neural Network Quantization With Fractional Bit-widths☆11Feb 19, 2021Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 4 years ago
- ☆19Mar 16, 2022Updated 4 years ago
- A pytorch implementation of DoReFa-Net☆132Dec 26, 2019Updated 6 years ago
- Inference of quantization aware trained networks using TensorRT☆84Jan 27, 2023Updated 3 years ago
- INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target☆18Jan 10, 2020Updated 6 years ago
- Contains from-scratch implementation of the MobileNetV1, V2 and V3 paper with PyTorch. Each model architecture is contained in a single f…☆18Aug 10, 2022Updated 3 years ago
- ☆171Mar 9, 2023Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆138Nov 19, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆41Jan 4, 2022Updated 4 years ago
- mi-optimize is a versatile tool designed for the quantization and evaluation of large language models (LLMs). The library's seamless inte…☆25Nov 28, 2024Updated last year
- ☆32Mar 31, 2025Updated last year
- ☆25Dec 11, 2021Updated 4 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆264Oct 3, 2023Updated 2 years ago
- ☆17Nov 11, 2024Updated last year
- [CVPR 2022] Learnable Lookup Table for Neural Network Quantization☆43Oct 6, 2022Updated 3 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆67May 2, 2021Updated 4 years ago
- ☆19Mar 21, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Jul 7, 2022Updated 3 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆83Dec 30, 2022Updated 3 years ago
- Source code for ``How far can we go without convolution: Improving fully-connected networks'' published at ICLR 2016 workshop☆13Nov 10, 2015Updated 10 years ago
- ☆35Jul 9, 2020Updated 5 years ago
- ☆21Feb 11, 2022Updated 4 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆296Aug 1, 2021Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Nov 15, 2020Updated 5 years ago