Klitter

Klitter's Stars

• Eric-mingjie/rethinking-network-pruning

  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

  Language:Python1.5k293

• he-y/soft-filter-pruning

  Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

  Language:Python37774

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55k15.9k

• lehaifeng/Learning_by_memory

  Language:Python71

• arunmallya/piggyback

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

  Language:Python18327

• arunmallya/packnet

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

  Language:Python23040

• Simon4Yan/Learning-via-Translation

  SPGAN in CVPR'18

  Language:MATLAB20850

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.5k3.7k

• kuc2477/pytorch-ewc

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

  Language:Python26545

• ariseff/overcoming-catastrophic

  Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

  Language:Jupyter Notebook29898

• GMvandeVen/continual-learning

  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.

  Language:Jupyter Notebook1.6k313

• peter-u-diehl/stdp-mnist

  Language:Python332139

• Sarasra/models

  Models and examples built with TensorFlow

  Language:Python2.9k1.2k

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.8k578

• nickmalleson/repastcity

  Automatically exported from code.google.com/p/repastcity

  Language:HTML1012