Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
☆20Jan 31, 2021Updated 5 years ago
Alternatives and similar repositories for flowandprune
Users that are interested in flowandprune are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Single shot neural network pruning before training the model, based on connection sensitivity☆11Aug 7, 2019Updated 7 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 6 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆43Nov 8, 2020Updated 5 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 6 years ago
- Incredible acceleration with pruning or the other compression techniques☆13Jul 7, 2021Updated 5 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.
- The Search for Sparse, Robustness Neural Networks☆11Mar 24, 2023Updated 3 years ago
- Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)☆25Aug 13, 2020Updated 6 years ago
- ☆12Jul 7, 2021Updated 5 years ago
- This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel …☆34May 22, 2023Updated 3 years ago
- Domain-Adaptive Object Detection via Uncertainty-Aware Distribution Alignment, ACM MM 2020☆18Dec 7, 2021Updated 4 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Jan 17, 2026Updated 8 months ago
- ☆14Mar 5, 2021Updated 5 years ago
- Energy-based Dropout and Pruning of Deep Neural Networks☆10Oct 9, 2020Updated 6 years ago
- ☆230Jul 25, 2024Updated 2 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.
- ☆13Mar 8, 2020Updated 6 years ago
- ☆68Mar 4, 2020Updated 6 years ago
- ☆18Feb 18, 2022Updated 4 years ago
- ☆120Jun 13, 2020Updated 6 years ago
- ☆19Mar 18, 2021Updated 5 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Jul 15, 2020Updated 6 years ago
- Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs☆16Feb 28, 2019Updated 7 years ago
- Implementation of unregularized, l1 regularized and l2 regularized linear regression using numpy and without sklearn☆11Oct 4, 2019Updated 7 years ago
- ☆15Jul 29, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆19Oct 12, 2022Updated 4 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆48Nov 6, 2022Updated 3 years ago
- DropNet: Reducing Neural Network Complexity via Iterative Pruning (ICML 2020)☆16Aug 24, 2020Updated 6 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆40Mar 20, 2022Updated 4 years ago
- Scale-aware Automatic Augmentation for Object Detection (CVPR 2021)☆198Aug 24, 2022Updated 4 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.