FreezeOut
Layer freezeout
A technique to accelerate neural network training by progressively freezing layers
Accelerate Neural Net Training by Progressively Freezing Layers
211 stars
8 watching
31 forks
Language: Python
last commit: over 6 years ago deep-learningdensenetmachine-learningmemesneural-networkspytorchvgg16wide-residual-networks
Related projects:
Repository | Description | Stars |
---|---|---|
ajbrock/smash | An experimental method for efficiently searching neural network architectures using a single training run. | 489 |
microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 467 |
alexbrillant/multi-layer-perceptron | An implementation of a multi-layer neural network in Python, allowing users to train and use the network for classification tasks. | 5 |
ajtulloch/dnngraph | A DSL and toolkit for designing and optimizing deep neural networks in Haskell | 700 |
ahmedfgad/neuralgenetic | Tools and techniques for training neural networks using genetic algorithms | 240 |
kimhc6028/forward-thinking-pytorch | An implementation of a novel neural network training method that builds and trains networks one layer at a time. | 65 |
zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,041 |
neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,071 |
loudinthecloud/dpwa | A distributed learning framework that enables peer-to-peer parameter averaging and asynchronous training of deep neural networks | 53 |
tmllab/2021_neurips_pes | Improves the performance of deep neural networks by selectively stopping training at different stages | 29 |
jbarrow/lambdanet | An artificial neural network library for rapid prototyping and extension in Haskell. | 377 |
graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 569 |
ramon-oliveira/aorun | A deep learning framework on top of PyTorch for building neural networks. | 61 |
bamos/densenet.pytorch | An implementation of a deep neural network architecture in PyTorch | 832 |
jordanash/boostresnet | An implementation of a deep neural network architecture using boosting theory to improve its performance | 5 |