SiXiandong94

SiXiandong94's Stars

• cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline

  Fully Convlutional Neural Networks for state-of-the-art time series classification

  Language:Python671203

• chihyaoma/Activity-Recognition-with-CNN-and-RNN

  Temporal Segments LSTM and Temporal-Inception for Activity Recognition

  Language:Lua439149

• 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 Notebook1.5k310

• wepe/MachineLearning

  Basic Machine Learning and Deep Learning

  Language:Python5.2k3.2k

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.7k559

• khurramjaved96/incremental-learning

  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

  Language:Python10724

• kshmelkov/incremental_detectors

  Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"

  Language:Python13033

• rosenfeldamir/incremental_learning

  Initial Code for the paper "incremental learning through deep adaptation"

  Language:Jupyter Notebook4914

• may0324/DeepCompression-caffe

  Caffe for Deep Compression

  Language:C++238113

• younghwanoh/impl-pruning-TF

  Implementation of "Iterative pruning" on TensorFlow

  Language:Python16154

• guoxiaolu/model_compression

  deep learning model compression based on keras

  Language:Python328

• mightydeveloper/Deep-Compression-PyTorch

  PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

  Language:Python408111

• microsoft/LQ-Nets

  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

  Language:Python23969

• hiteshvaidya/Model-Compression

  This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep Compression" by Song Han et. al. This paper received best paper award in ICLR 2016

  Language:Python7622

• jack-willturner/deep-compression

  Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

  Language:Jupyter Notebook17341

• Lyken17/Bayesian-Compression-for-Deep-Learning

  Remplementation of paper https://arxiv.org/abs/1705.08665

  Language:Python2816

• nephashi/DeepCompression

  implementation of Iterative Pruning for Deep neural network [Han2015].

  Language:Python4012

• Roll920/ThiNet

  caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342

  14440

• jindongwang/activityrecognition

  Resources about activity recognition-行为识别资料

  Language:MATLAB911351

• tensorlayer/TensorLayer

  Deep Learning and Reinforcement Learning Library for Scientists and Engineers

  Language:Python7.3k1.6k

• slothkong/DNN-Pruning

  A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication

  Language:Python42

• wenwei202/caffe

  Caffe for Sparse and Low-rank Deep Neural Networks

  Language:C++375134

• wenwei202/terngrad

  Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

  Language:Python18048

• renmengye/revnet-public

  Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"

  Language:Python35050

• songhan/Deep-Compression-AlexNet

  Deep Compression on AlexNet

  Language:Python654209

• Zehaos/MobileNet

  MobileNet build with Tensorflow

  Language:Python1.6k470

• xiaohu2015/DeepLearning_tutorials

  The deeplearning algorithms implemented by tensorflow

  Language:Jupyter Notebook1.8k770

• zssloth/Embedded-Neural-Network

  collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

  553121

• BichenWuUCB/squeezeDet

  A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.

  Language:Python739306

• joeylmaalouf/conv-net-research

  Finding solutions to the problem of catastrophic forgetting that convolutional neural networks can undergo during online task learning.

  Language:Python33