2021_NeurIPS_PES
Selective Stopping
Improves the performance of deep neural networks by selectively stopping training at different stages
29 stars
1 watching
3 forks
Language: Python
last commit: about 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,083 |
 microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 468 |
 rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 316 |
 tusimple/sparse-structure-selection | Re-implements sparse structure selection algorithm for deep neural networks in a modified MXNet framework. | 87 |
 rsteca/sklearn-deap | Replaces grid search with evolutionary algorithms to find optimal parameters for machine learning models | 771 |
 mit-han-lab/data-efficient-gans | Improves GAN training efficiency by incorporating data augmentation | 1,286 |
 layneh/self-adaptive-training | Improves deep network generalization under noise and enhances self-supervised representation learning | 127 |
 martinkersner/train-deeplab | Trains DeepLab model for semantic image segmentation using annotated data and various training procedures | 172 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
 tdeboissiere/deeplearningimplementations | A collection of implementations of recent deep learning papers in Python | 1,814 |
 catalyst-team/neuro | A 3D brain segmentation pipeline using Python and the Catalyst framework. | 19 |
 intel/neural-compressor | Tools and techniques for optimizing large language models on various frameworks and hardware platforms. | 2,257 |
 google-research/tf-slim | A lightweight library for defining and training neural networks in TensorFlow. | 373 |
| tusimple/neuron-selectivity-transfer | Re-implementation of knowledge distillation via neuron selectivity transfer for image classification tasks | 134 |
 pistony/residualattentionnetwork | A Gluon implementation of Residual Attention Network for image classification tasks | 108 |