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agem

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

balancedmetasoftmax

[NeurIPS 2020] Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition"

balancedmetasoftmax-classification

[NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition

bgnn-aaai

continual-learning-benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

contrastive_loss

Experiments with supervised contrastive learning methods with different loss functions

emstdp

few-shot-gnn

few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

fromp

Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"

fullyspikingvae

Fully Spiking Variational Autoencoder

gradual_domain_adaptation

label-smoothing-visualization-pytorch

When Does Label Smoothing Help?_pytorch_implementationimp

loihi_2_emstdp

maximally_interfered_retrieval

Codebase for "Online Continual Learning with Maximally Interfered Retrieval"

mstar_ood

orthog_subspace

Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

pygcn

Graph Convolutional Networks in PyTorch

pytorch-deep-generative-replay

PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017

pytorch_forward_forward

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

seqmultitaskrnn

sequential learning in orthogonal subspaces

temporal_efficient_training

Code for temporal efficient training