feinanshan

feinanshan's Stars

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.5k388311.7k

• kenshohara/3D-ResNets-PyTorch

  3D ResNets for Action Recognition (CVPR 2018)

  Language:Python3.9k58269930

• jinwchoi/awesome-action-recognition

  A curated list of action recognition and related area resources

  3.8k2079724

• meetps/pytorch-semseg

  Semantic Segmentation Architectures Implemented in PyTorch

  Language:Python3.4k106222792

• Tramac/awesome-semantic-segmentation-pytorch

  Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

  Language:Python2.9k42203586

• haitongli/knowledge-distillation-pytorch

  A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

  Language:Python1.9k2025346

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.9k2824303

• yu-changqian/TorchSeg

  Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

  Language:Python1.4k47115253

• albanie/convnet-burden

  Memory consumption and FLOP count estimates for convnets

  Language:MATLAB9183311114

• JackieZhangdx/WeakSupervisedSegmentationList

  This repository contains lists of state-or-art weakly supervised semantic segmentation works

  59234787

• dit/dit

  Python package for information theory.

  Language:Python5242510290

• Nanne/pytorch-NetVlad

  Pytorch implementation of NetVlad including training on Pittsburgh.

  Language:Python442788110

• sunnyxiaohu/R-C3D.pytorch

  R-C3D pytorch implementation

  Language:Python248126568

• andreasveit/convnet-aig

  PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs

  Language:Python18551028

• xmojiao/deeplab_v2

  基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

  Language:Jupyter Notebook162516103

• xternalz/AE-WTN

  Scaling Object Detection by Transferring Classification Weights

  Language:Python29428

• sunxm2357/cs655-geni-mini-project

  Language:HTML1200