eclypse-org / federactLinks
FedRay: a Research Framework for Federated Learning based on Ray
☆22Updated last year
Alternatives and similar repositories for federact
Users that are interested in federact are comparing it to the libraries listed below
Sorting:
- ☆39Updated 2 years ago
- AI-Toolkit collecting and implementing the AI modules for a TEACHING application.☆29Updated 2 years ago
- An Edge-Cloud python platform for simulated (and emulated) runtime environments☆31Updated last week
- Tile map of the Computer Science Department of Università di Pisa☆12Updated 4 years ago
- Synthetic graph generator☆12Updated 2 years ago
- A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)☆12Updated 2 weeks ago
- Notebooks for course HLT☆13Updated 2 years ago
- PhD Thesis☆16Updated 4 years ago
- A research library for automating experiments on Deep Graph Networks☆222Updated 3 months ago
- Archetype Computing / Adapting System for the EMERGE project.☆14Updated 6 months ago
- Continual Learning in Recurrent Neural Networks☆37Updated 4 years ago
- Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural N…☆15Updated 4 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Updated 3 years ago
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆15Updated 10 months ago
- The library for pooling in Graph Neural Networks made for Pytorch Geometric☆33Updated this week
- Edge representation learning library☆27Updated 2 years ago
- ☆13Updated 4 years ago
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and o…☆314Updated last year
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆81Updated 4 years ago
- Graph Echo State Networks for Pytorch☆24Updated 2 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated 2 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆164Updated last year
- Python package for graph-based clustering and semi-supervised learning☆100Updated 3 months ago
- Generating global explanations from local ones☆11Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆77Updated 6 years ago
- Simple code for the tutorial on Polynomial Nets.☆13Updated 2 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆44Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆160Updated last year