DUCKQUANT / THE QUANT & AI DIRECTORY
4,091 resources, ranked by in-directory PageRank
[ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yongan Zhang, Yang Zhang, David…
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
Public repository by mlech26l. Primary language: Python.
Public repository by microsoft. Primary language: Python.
Public repository by dooseokjeong. Primary language: Python.
A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization,…
This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.
Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".
[WACV2022] Official Code for the "DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks"
Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
[ECCV2022] Official Code for the "CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution"
Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
[ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inference" by Yonggan Fu, Qixuan Yu, Meng Li,…
[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021
Public repository by LaVieEnRoseSMZ. Primary language: Python.
AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.
This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is accepted to ICCV2021.
Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
Code to accompany the paper "Hierarchical Quantized Autoencoders"
Any-Precision Deep Neural Networks (AAAI 2021)
Official code for ICML 2020 paper "Variational Bayesian Quantization"
BitSplit Post-trining Quantization
Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
Differentiable Product Quantization for End-to-End Embedding Compression.
PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
This repository is the official implementation of Quantized Variational Inference (NeurIPS 2020).
PyTorch implementation for the APoT quantization (ICLR 2020)
Public repository by JianpingLin. Primary language: Python.
[CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural…
