juliagusak / model-compression-and-acceleration-progress
Repository to track the progress in model compression and acceleration
☆105Updated 3 years ago
Alternatives and similar repositories for model-compression-and-acceleration-progress:
Users that are interested in model-compression-and-acceleration-progress are comparing it to the libraries listed below
- papers about model compression☆166Updated last year
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated 2 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆260Updated last year
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 4 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆166Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆275Updated last year
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 4 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆176Updated 2 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆155Updated 6 months ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆112Updated 5 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆162Updated 4 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆71Updated 3 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆315Updated 5 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆269Updated last month
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 6 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 3 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆331Updated 6 months ago
- ☆66Updated 5 years ago
- ☆55Updated 4 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆156Updated 4 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆241Updated 2 years ago
- Quantization of Convolutional Neural networks.☆243Updated 5 months ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆436Updated last year
- A pytorch implementation of dorefa quantization☆112Updated 5 years ago
- ☆213Updated 6 years ago
- Network acceleration methods☆178Updated 3 years ago
- Papers for deep neural network compression and acceleration☆397Updated 3 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆377Updated 5 years ago
- Try out different pruning-approaches on lightweight Backbones.☆143Updated 4 years ago
- ☆47Updated 3 years ago