Alternatives and similar repositories for federact

Users that are interested in federact are comparing it to the libraries listed below

• EU-TEACHING / teaching-ai-toolkit
  AI-Toolkit collecting and implementing the AI modules for a TEACHING application.
  ☆29Updated 2 years ago
• EU-TEACHING / teaching
  ☆39Updated 2 years ago
• flandolfi / virtual-di-unipi
  Tile map of the Computer Science Department of Università di Pisa
  ☆12Updated 4 years ago
• eclypse-org / eclypse
  An Edge-Cloud python platform for simulated (and emulated) runtime environments
  ☆34Updated this week
• danielecastellana22 / torch-dpmm
  A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)
  ☆13Updated 2 months ago
• marcopodda / phd-thesis
  PhD Thesis
  ☆16Updated 4 years ago
• gravins / NumGraph
  Synthetic graph generator
  ☆12Updated 2 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆222Updated last month
• Unipisa / HLT
  Notebooks for course HLT
  ☆13Updated 2 years ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated 2 years ago
• diningphil / graph-mixture-density-networks
  Official Repository of "Graph Mixture Density Networks" (ICML 2021)
  ☆27Updated 3 years ago
• danilonumeroso / conar
  Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`
  ☆21Updated 2 years ago
• msetzu / glocalx
  Generating global explanations from local ones
  ☆11Updated 3 years ago
• mariacer / cl_in_rnns
  Continual Learning in Recurrent Neural Networks
  ☆37Updated 4 years ago
• ralphabb / GNN-RNI
  The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".
  ☆22Updated 4 years ago
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
  ☆36Updated 2 years ago
• ruchtem / cosmos
  This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
  ☆39Updated 4 years ago
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 4 years ago
• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 4 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated 2 years ago
• google-deepmind / enn
  ☆314Updated 3 weeks ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• pbielak / pytorch_geometric_edge
  Edge representation learning library
  ☆27Updated 3 years ago
• EU-EMERGE / archetype-computing-adaptive-system
  Archetype Computing / Adapting System for the EMERGE project.
  ☆14Updated last month
• GAMES-UChile / The_Art_of_Gaussian_Processes
  ☆41Updated last month
• lebrice / Sequoia
  The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
  ☆197Updated 2 years ago
• geriskenderi / graph-jepa
  Official code for the paper Graph-level Representation Learning with Joint-Embedding Predictive Architectures published in Transactions o…
  ☆38Updated last year
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆85Updated 4 years ago
• logictensornetworks / logictensornetworks
  Deep Learning and Logical Reasoning from Data and Knowledge
  ☆343Updated last year