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PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

License: MIT License

Python 36.13% Shell 0.57% Jupyter Notebook 63.30%
deep-learning artificial-neural-networks continual-learning lifelong-learning incremental-learning replay distillation generative-models variational-autoencoder elastic-weight-consolidation replay-through-feedback icarl gradient-episodic-memory task-incremental-learning class-incremental-learning domain-incremental-learning

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ananthc wshenx vlomonaco zackenton yuanmengzhixing wkumagai juntingzh nickledave ml-lab sanketvmehta caihengyu520 josephkj ffeng1996 sebamenabar sheqi mk-hasan romilbhardwaj hyzcn ruotianluo wwxfromtju jun2tong yingyingqinn abhishekaich27 alexmaehon giangnguyen2412 sonic530 yaolezju etshang iroxwk claudiogreco raptormai sunyao-survivor yulaicong xjtushujun dptam batermj vitvicky sonpeter betty5257 soubanerjee tinyloop adogpersona ryutian chandan-iiti zhenfengcao yeshwanthv5 mhmorta tanmdl agiant surexs apapich erika1203 michaelbbtiger incremental-learning zui-jiang xixirupan note048 liyang328 linshoa mohamedabdelsalam9 xychen9459 ykarmesh smonsays zhengkaifu mvillafane tacalvin atwdie ramasesh npbcl lliai donkeyshot21 hotco87 timmhess lebyni bluematrix007 edjoz miaozhang0525 jawaechan rucguipeng jry-king coaox gentaiscool gawain93 tango4j nchuramani barrel-titor niuwk shaker82 skrighyz liangzai951 khanaai cuijiahui bit0123 zhengkunyi pyun-ram 13301338176 rahulvigneswaran twistedmove ito-takuya stylewjz

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