j-marple-dev / model_compressionLinks
PyTorch Model Compression
☆234Updated 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
Sorting:
- FrostNet: Towards Quantization-Aware Network Architecture Search☆105Updated last year
- AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)☆415Updated 4 years ago
- Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custo…☆89Updated 4 years ago
- A specially designed light version of Fast AutoAugment☆171Updated 5 years ago
- Repository to track the progress in model compression and acceleration☆106Updated 4 years ago
- Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models☆453Updated 3 years ago
- carrier of tricks for image classification tutorials using pytorch.☆104Updated last year
- Multi GPU Training Code for Deep Learning with PyTorch☆207Updated 5 months ago
- papers about model compression☆166Updated 2 years ago
- The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API☆111Updated 3 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆156Updated last year
- A large scale study of Knowledge Distillation.☆220Updated 5 years ago
- Tensorflow2 training code with jit compiling on multi-GPU.☆17Updated 4 years ago
- Tensorflow Implementation of "Slowing Down the Weight Norm Increase in Momentum-based Optimizers"☆47Updated 4 years ago
- Papers for deep neural network compression and acceleration☆400Updated 4 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 7 years ago
- Making a PyTorch model easier than ever!☆79Updated 3 years ago
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)☆418Updated 5 years ago
- Efficient Neural Architecture search via parameter sharing(ENAS) micro search Tensorflow code for windows user☆115Updated 7 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
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Updated 4 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆431Updated 2 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆170Updated 2 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆167Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)☆265Updated 5 years ago
- ☆156Updated 2 years ago
- Estimate/count FLOPS for a given neural network using pytorch☆306Updated 3 years ago