packnet
by arunmallya
Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
AI summary
Task Network Pruning Framework
A deep learning framework for adding multiple tasks to a single network by iterative pruning and evaluation on various datasets.
- stars
- 230
- forks
- 40
- watching
- 7
Similar projects
Found by comparing what the projects do, not just their names.
Task adaptation framework
Adapting a single network to multiple tasks by learning to mask weights
Network Embedder
A framework for unsupervised network embedding using a multi-task Siamese neural network
Pruning algorithm
A deep learning project implementing structured pruning algorithms in PyTorch for efficient neural network training and inference.
Model optimizer
Enables the creation of smaller neural network models through efficient pruning and quantization techniques
Network reprogramming
This project enables reprogramming of pre-trained neural networks to work on new tasks by fine-tuning them on smaller datasets.
Deep Learning Framework
A deep learning framework that enables efficient and flexible distributed/mobile deep learning with dynamic dataflow dependency scheduling
Neural network framework
An implementation of neural network components and optimization methods for text analysis, including rationales for neural predictions.
Semantic segmentation framework
A deep learning framework for semantic segmentation using pre-trained classification networks and heterogeneous annotations
Sparse network pruner
Re-implements sparse structure selection algorithm for deep neural networks in a modified MXNet framework.
Pruning tool
This project provides a PyTorch implementation of pruning techniques to reduce the computational resources required for neural network inference.
Network tuner
Automates the search for optimal neural network configurations in deep learning applications
Deep learning framework
A Ruby interface to MXNet's deep learning framework
Network libraries
A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows.
Graph learning framework
A framework for decentralized multi-task learning of graph neural networks on molecular data with guaranteed convergence
Pruning tool
A tool for training neural networks with pruned weights and evaluating their performance.