A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS
☆28Jun 15, 2020Updated 5 years ago
Alternatives and similar repositories for implementation-of-pruning-filters
Users that are interested in implementation-of-pruning-filters are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆155Jul 24, 2023Updated 2 years ago
- ☆15Jul 30, 2020Updated 5 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆42Oct 6, 2021Updated 4 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆43Nov 16, 2022Updated 3 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆81Jul 15, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Simple python code to prune pytorch model☆22Feb 11, 2020Updated 6 years ago
- PyTorch Implementation of Weights Pruning☆185Jan 24, 2018Updated 8 years ago
- PyTorch Implementation of AutoPruner☆23Jun 11, 2020Updated 5 years ago
- PyTorch Implementation of CURL-Neural Network Pruning with Residual-Connections and Limited-Data☆24Jun 11, 2020Updated 5 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆167Jun 4, 2020Updated 5 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆182Nov 10, 2022Updated 3 years ago
- Code release for MPCViT accepted by ICCV 2023☆16Jan 6, 2025Updated last year
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆386Oct 2, 2019Updated 6 years ago
- Implement of Dynamic Model Pruning with Feedback with pytorch☆41Jun 20, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is to convert caffe model to torch model and torch model to pytorch model☆21Dec 8, 2017Updated 8 years ago
- A benchmark suite for Graph Machine Learning☆19Oct 8, 2024Updated last year
- Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.☆30Jan 31, 2020Updated 6 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Nov 22, 2022Updated 3 years ago
- ☆20Apr 17, 2024Updated 2 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆919Nov 6, 2020Updated 5 years ago
- pruning vision models in torch☆17Dec 5, 2025Updated 5 months ago
- Source code for Jellyfish, a soft real-time inference serving system☆15Dec 20, 2022Updated 3 years ago
- ☆10Feb 22, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learni…☆14Jul 13, 2024Updated last year
- kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation (ACL2023)☆11Jul 26, 2023Updated 2 years ago
- SEED: Self-supervised Distillation for Visual Representation☆16Jul 20, 2022Updated 3 years ago
- model compression and optimization for deployment for Pytorch, including knowledge distillation, quantization and pruning.(知识蒸馏,量化,剪枝)☆21Sep 10, 2024Updated last year
- Group Lasso package for Python.☆16Sep 12, 2023Updated 2 years ago
- Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)☆617Aug 31, 2023Updated 2 years ago
- channel pruning for accelerating very deep neural networks☆13Mar 8, 2021Updated 5 years ago
- The official implementation of [ACMMM2022] Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation☆11May 27, 2023Updated 2 years ago
- Network reproduction and expansion based on Learning Efficient Convolutional Networks Through Network Slimming (ICCV 2017).☆24May 2, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Scripts to prepare OXFORD VGG Face dataset☆12Mar 29, 2016Updated 10 years ago
- Implementation of "Structured Multi-Hashing for Model Compression" (CVPR 2020)☆12Feb 18, 2021Updated 5 years ago
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆13Aug 22, 2025Updated 8 months ago
- Easy-to-Use Federated Learning Simulator in Pytorch☆16Apr 23, 2021Updated 5 years ago
- BATCH: Adaptive Batching for Efficient MachineLearning Serving on Serverless Platforms☆11Aug 7, 2021Updated 4 years ago
- ☆12Feb 18, 2025Updated last year
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆257Feb 11, 2021Updated 5 years ago