network-quantization

There are 2 repositories under network-quantization topic.

quic / aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
quantization deep-learning compression open-source machine-learning pruning auto-ml network-compression deep-neural-networks network-quantization opensource
Language:Python 2450
sony / model_optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
deep-learning deep-neural-networks edge-ai machine-learning network-compression network-quantization neural-network optimizer ptq pytorch qat quantization tensorflow
Language:Python 383
NJU-Jet / SR_Mobile_Quantization
Winner solution of mobile AI (CVPRW 2021).
super-resolution network-quantization int8-quantization residual-learning
Language:Python 151
1adrianb / binary-networks-pytorch
Binarize convolutional neural networks using pytorch :fire:
convolutional-neural-networks network-quantization network-binarization pytorch
Language:Python 143
lmbxmu / RBNN
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
binary-network binary-neural-networks network-compression-acceleration network-quantization neurips2020 neurips-2020
Language:Python 81
pmf
tajanthan / pmf
Proximal Mean-field for Neural Network Quantization
network-quantization binary-neural-networks relaxation-labelling softmax cifar
Language:Python 22
statsml / compress-net-notes
quantized-training convolutional-neural-networks compression network-pruning network-quantization
20
quic / aimet-pages
AIMET GitHub pages documentation
quantization deep-learning compression open-source machine-learning pruning auto-ml network-compression deep-neural-networks network-quantization opensource
Language:HTML 9
CAS-CLab / Label-free-Network-Compression
Caffe implementation of "Learning Compression from Limited Unlabeled Data" (ECCV2018).
model-compression network-quantization unlabeled-data unsupervised-learning
Language:Python 6
xuxw98 / Quantformer
[T-PAMI 2022] Quantformer: Learning Extremely Low-precision Vision Transformers
network-quantization transformer
Language:Python 2