23 open-source projects similar to joansj/hat, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Hat alternative.
Code implementation for "Continual Semi-Supervised Learning through Contrastive Interpolation Consistency"
Official implementation of "On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning"
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
Continuum Learning with GEM: Gradient Episodic Memory
Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
Steven C. Y. Hung, Jia-Hong Lee, Timmy S. T. Wan, Chein-Hung Chen, Yi-Ming Chan and Chu-Song Chen. "Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning" 2019 ACM on International Conference on Multimedia Retrieval
This repository is the official implementation of Multi-Head Model for Continual Learning via Out-of-Distribution Replay (MORE)
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
Repository for the Learning without Forgetting paper, ECCV 2016
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Memory Aware Synapses method implementation code
Tensorflow and Theano Lasagne codes for the paper https://arxiv.org/abs/1611.07725
Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
PyContinual (An Easy and Extendible Framework for Continual Learning)