FPS_Pre-training
Fractal Pre-training Model
An implementation of fractal pair similarity pre-training using SimSiam
Fractal Pair Similarity (FPS) Pre-training.
4 stars
1 watching
1 forks
Language: Python
last commit: over 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 sarababakn/mfcl-neurips23 | An approach to mitigating catastrophic forgetting in federated class incremental learning for vision tasks using a generative model and data-free methods | 15 |
 royson/fedl2p | This project enables personalized learning models by collaborating on learning the best strategy for each client | 19 |
 dehun/learn-fp | A learning-by-doing course/tutorial on functional programming in Scala | 613 |
 codepothunter/fednp | A framework for non-IID federated learning via neural propagation | 6 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 572 |
 qinbinli/moon | A framework for collaborative machine learning model training that leverages similarity between model representations to correct local training. | 267 |
 wyy-123-xyy/ra-fed | A Python implementation of a distributed machine learning framework for training neural networks on multiple GPUs | 6 |
 omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
 open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,196 |
 substra/substra | Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner. | 274 |
| omarfoq/knn-per | A federated learning framework with personalized memorization using deep neural networks and k-nearest neighbors for collaborative learning of statistical models | 43 |
 berivanisik/sparse-random-networks | Implementation of a communication-efficient federated learning framework using sparse random neural networks. | 29 |
 ahmedfgad/neuralgenetic | Trains artificial neural networks using the genetic algorithm | 241 |
 yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 134 |
 samuelgong/pisces | An open-source research framework for efficient federated learning via guided asynchronous training | 12 |