skywalker-94 Goto Github PK

adversarial-continual-learning

Implementation for the paper "Adversarial Continual Learning" in PyTorch.

awesome-incremental-learning

Awesome Incremental Learning

awesome-lifelong-continual-learning

blink

Example file to blink the LED on an Arduino

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.

conditional-gan

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

conditional_batch_normalization

Conditional Batch Normalization Pytorch Implementation

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

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

cwgan-gp

A keras implementation of conditional wgan-gp

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

eft

Class Incremental learning, Task Incremental Learning

ganmemory_lifelonglearning

hello-world2

My second practice repository

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

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)

mergan

packnet

Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

piggyback

Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

pytorch-deep-generative-replay

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

pytorch-ewc

Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"

pytorch-vae

PyTorch implementation of "Auto-Encoding Variational Bayes", arxiv:1312.6114

pytorch-wgan-gp

PyTorch implementation of "Improved Training of Wasserstein GANs", arxiv:1704.00028

tensorflow-101

TensorFlow Tutorials

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

wassersteingan

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"