j-marple-dev / model_compression
PyTorch Model Compression
☆231Updated 2 years ago
Alternatives and similar repositories for model_compression:
Users that are interested in model_compression are comparing it to the libraries listed below
- AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)☆414Updated 4 years ago
- FrostNet: Towards Quantization-Aware Network Architecture Search☆107Updated 10 months ago
- papers about model compression☆167Updated 2 years ago
- Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custo…☆88Updated 4 years ago
- Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models☆452Updated 3 years ago
- Repository to track the progress in model compression and acceleration☆105Updated 3 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API☆109Updated 2 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆154Updated 8 months ago
- carrier of tricks for image classification tutorials using pytorch.☆103Updated last year
- Tensorflow2 training code with jit compiling on multi-GPU.☆17Updated 4 years ago
- A specially designed light version of Fast AutoAugment☆172Updated 4 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆164Updated 4 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆878Updated 5 years ago
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆197Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- Papers for deep neural network compression and acceleration☆397Updated 3 years ago
- Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)☆264Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆185Updated 7 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆277Updated last year
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- A large scale study of Knowledge Distillation.☆220Updated 4 years ago
- Efficient Neural Architecture search via parameter sharing(ENAS) micro search Tensorflow code for windows user☆114Updated 6 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆428Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆440Updated last year
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)☆417Updated 4 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- Sparse learning library and sparse momentum resources.☆380Updated 2 years ago
- Multi GPU Training Code for Deep Learning with PyTorch☆206Updated last week
- Tensorflow Implementation of "Slowing Down the Weight Norm Increase in Momentum-based Optimizers"☆47Updated 3 years ago