FedRay: a Research Framework for Federated Learning based on Ray
☆22Nov 20, 2024Updated last year
Alternatives and similar repositories for federact
Users that are interested in federact are comparing it to the libraries listed below
Sorting:
- Synthetic graph generator☆12Nov 7, 2023Updated 2 years ago
- AI-Toolkit collecting and implementing the AI modules for a TEACHING application.☆29Jul 17, 2023Updated 2 years ago
- Tile map of the Computer Science Department of Università di Pisa☆12Mar 19, 2021Updated 5 years ago
- PhD Thesis☆16May 26, 2021Updated 4 years ago
- An Edge-Cloud python platform for simulated (and emulated) runtime environments☆35Mar 13, 2026Updated last week
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆15Jan 2, 2025Updated last year
- ☆13Feb 16, 2021Updated 5 years ago
- A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)☆13Nov 27, 2025Updated 3 months ago
- A research library for automating experiments on Deep Graph Networks☆222Dec 16, 2025Updated 3 months ago
- Archetype Computing / Adapting System for the EMERGE project.☆14Feb 24, 2026Updated 3 weeks ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Jul 30, 2022Updated 3 years ago
- Generating global explanations from local ones☆11Nov 11, 2022Updated 3 years ago
- Adversarial Autoencoder for Style-aware music modeling.☆25Mar 4, 2020Updated 6 years ago
- Notebooks for course HLT☆13Mar 17, 2023Updated 3 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆21Nov 27, 2023Updated 2 years ago
- Code for the causal benchmark library☆12Mar 11, 2025Updated last year
- ☆12Jul 15, 2025Updated 8 months ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Jun 13, 2023Updated 2 years ago
- The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS☆26Jul 10, 2024Updated last year
- CVPR 2022 Continual Learning in Computer Vision Workshop Challenge☆27Dec 15, 2022Updated 3 years ago
- ☆25Apr 16, 2021Updated 4 years ago
- ☆18Feb 6, 2023Updated 3 years ago
- Resources for the Semeval 2016 Task 3 Community Question Answering. Contains word embeddings and system description results☆10Jan 13, 2017Updated 9 years ago
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and o…☆339Feb 20, 2024Updated 2 years ago
- Molecular Explanation Generator☆17Jan 26, 2022Updated 4 years ago
- A MATLAB implementation of an Echo State Network, using an unsupervised learning rule for pre-training the reservoir called Intrinsic Pla…☆10Aug 5, 2018Updated 7 years ago
- Solution for the Black Box Challenge☆10Jun 8, 2016Updated 9 years ago
- ☆19Sep 30, 2022Updated 3 years ago
- Official repository for the paper "Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing".☆18Dec 4, 2025Updated 3 months ago
- Implementation of the unbounded depth neural network from the paper Variational Inference for Infinitely Deep Neural Networks☆17Sep 21, 2022Updated 3 years ago
- Giving Up Control: Neurons as Reinforcement Learning Agents☆13May 6, 2024Updated last year
- ☆12Jun 5, 2016Updated 9 years ago
- Implementation of Latent Replay, a Continual Learning strategy for Real-Time / On The Edge applications☆14May 7, 2020Updated 5 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Mar 24, 2024Updated last year
- 🌳 A compressed rank/select dictionary exploiting approximate linearity and repetitiveness.☆15Jun 28, 2022Updated 3 years ago
- A simple, easy to use MNIST loader written in Python 3☆77May 13, 2020Updated 5 years ago
- The library for pooling in Graph Neural Networks made for Pytorch Geometric☆52Mar 9, 2026Updated last week
- A working PyTorch implementation of the iCaRL algorithm (for Cifar100 experiments)☆13Apr 20, 2021Updated 4 years ago
- Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural N…☆15Oct 13, 2021Updated 4 years ago