Skywalker-94's repositories
Adversarial-Continual-Learning
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
hello-world2
My second practice repository
Awesome-Incremental-Learning
Awesome Incremental Learning
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
EFT
Class Incremental learning, Task Incremental Learning
MER
Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)
blink
Example file to blink the LED on an Arduino
CPG
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
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
Tensorflow-101
TensorFlow Tutorials
CloGAN
Implementation of Rios, A., & Itti, L. (2019, August). Closed-loop memory gan for continual learning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (pp. 3332-3338). AAAI Press.
pytorch-ewc
Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
piggyback
Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
pytorch-vae
PyTorch implementation of "Auto-Encoding Variational Bayes", arxiv:1312.6114
cwgan-gp
A keras implementation of conditional wgan-gp
Conditional-GAN
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
packnet
Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
conditional_batch_normalization
Conditional Batch Normalization Pytorch Implementation
wgan-gp
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
pytorch-deep-generative-replay
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
pytorch-wgan-gp
PyTorch implementation of "Improved Training of Wasserstein GANs", arxiv:1704.00028