Functional Regularisation for Continual Learning with Gaussian Processes
☆15Oct 24, 2020Updated 5 years ago
Alternatives and similar repositories for FRCL
Users that are interested in FRCL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation for Decomposed Convolutional Filters Network☆24Feb 19, 2020Updated 6 years ago
- Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation☆25May 14, 2026Updated 4 months ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆16Jan 14, 2021Updated 5 years ago
- Recyclable Gaussian Processes☆11Dec 8, 2022Updated 3 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Jul 5, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆11Jan 16, 2020Updated 6 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Oct 10, 2022Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆37May 25, 2021Updated 5 years ago
- Code for PCA-OGD (AISTATS 2021)☆11Mar 16, 2021Updated 5 years ago
- Learning Hawkes Processes from a Handful of Events☆13Jul 6, 2023Updated 3 years ago
- Python implementation of the particle-in-a-box experiment described by Wissner-Gross & Freer (2013)☆15Updated this week
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆23Jun 22, 2021Updated 5 years ago
- ☆25Aug 4, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"☆20Jan 22, 2021Updated 5 years ago
- Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".☆29Jan 24, 2023Updated 3 years ago
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆23May 25, 2022Updated 4 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Jun 10, 2019Updated 7 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆13Aug 27, 2021Updated 5 years ago
- Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'☆21Aug 6, 2019Updated 7 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆13Nov 20, 2020Updated 5 years ago
- ☆19Aug 6, 2024Updated 2 years ago
- ☆15Jul 6, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Feedback-based Online Local Learning Of Weights (FOLLOW)☆12Feb 13, 2018Updated 8 years ago
- ☆16Nov 5, 2021Updated 4 years ago
- 基于受限玻尔兹曼机（RBM）的电影推荐系统☆15Aug 22, 2019Updated 7 years ago
- The implementation of our TMM paper "Deep Learning for Surface Material Classification Using Haptic and Visual Information"☆11Feb 17, 2017Updated 9 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆28Mar 10, 2023Updated 3 years ago
- A curated list of Bayesian optimization resources☆24Updated this week
- Graph Convolutional Networks in PyTorch☆16Jul 22, 2020Updated 6 years ago
- A minimal working example of Free-Form Jacobian of Reversible Dynamics☆15Dec 24, 2019Updated 6 years ago
- Dendritic Spine Analysis Software☆11Apr 27, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆90Oct 4, 2023Updated 2 years ago
- ☆19Jun 24, 2020Updated 6 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆15Jun 3, 2020Updated 6 years ago
- A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.☆19Jul 18, 2023Updated 3 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
- ☆10Mar 8, 2019Updated 7 years ago
- ☆22Jul 15, 2024Updated 2 years ago