julieli

julieli's Stars

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  24.3k622774.8k

• visionml/pytracking

  Visual tracking library based on PyTorch.

  Language:Python3.3k83411608

• yysijie/st-gcn

  Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

  Language:Python1.5k260338

• sekwiatkowski/awesome-capsule-networks

  A curated list of awesome resources related to capsule networks

  975713197

• lshiwjx/2s-AGCN

  Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

  Language:Python67012106181

• techfort/pycv

  Website of the book "Learn OpenCV 3 with Python"

  Language:Python541436320

• miraclewkf/SENet-PyTorch

  Language:Python404810101

• durandtibo/wildcat.pytorch

  PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

  Language:Python267151261

• caibolun/DehazeNet

  DehazeNet: An End-to-End System for Single Image Haze Removal

  Language:C++2559557

• Hrener/3D-Action-recognition

  PyTorch implementation of Two-stream CNN for 3D action recognition

  Language:Python15141218

• engindeniz/Cycle-Dehaze

  [CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

  Language:Python1492745

• coin-dataset/annotation-tool

  Language:JavaScript1383331

• zlinker/DehazeNet

  an end to end dehaze tools

  Language:Python1305551

• InwoongLee/TS-LSTM

  Skeleton-based Action Recognition using TS-LSTM model

  Language:Python12161022

• vasgaowei/pytorch_MELM

  The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection

  Language:Python10452919

• shuangshuangguo/skeleton-based-action-recognition-review

  This review contains some action recognition methods.

  56805

• escuccim/mias-mammography

  Analysis of MIAS and DDSM mammography datasets

  Language:Jupyter Notebook491328

• coin-dataset/code

  Language:Python474422

• fandulu/Keras-for-Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition

  Keras implementation for Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition

  Language:Jupyter Notebook463115

• kinect59/Spatio-Temporal-LSTM

  Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

  Language:Lua405015

• AlphaNext/DFCRN-for-Image-Dehazing

  Implementation code of the paper "Deep Fully Convolutional Regression Networks for Single Image Haze Removal"

  Language:MATLAB37219

• rwenqi/Multi-scale-CNN-Dehazing

  Single Image Dehazing via Multi-scale Convolutional Neural Networks, ECCV 2016

  Language:Cuda322010

• Chrisawa/image-video-dehazing-OpenCV

  image and video dehazing by median dark channel prior proposed by Gibson et al.

  311020

• dishank-b/MSCNN-Dehazing-Tensorflow

  This is Tensorflow implementation of Single Image Dehazing via Multi-Scale Convolutional Neural Networks https://sites.google.com/site/renwenqi888/research/dehazing/mscnndehazing

  Language:Python281311

• raven-dehaze-work/MSCNN_Keras

  "Single Image Dehazing via Multi-scale Convolutional Neural Networks" Implemented by Keras

  Language:Python23129

• lz1313/BlockCIrculantRNN

  BlockCIrculantRNN (LSTM and GRU) using TensorFlow

  Language:Python14215

• pkpraveen895/Viterbi-Decoding-and-Feature-Engineering

  Implemented the Viterbi algorithm for sequence tagging, did feature engineering to identify a good set of features and also compared the MEMM and CRF Statistical Modeling Methods, using Tensor Flow framework.

  Language:Python4101

• tolani/POS-MEMM-Tagger

  developed a part of speech tagger using Maximum Entropy Markov Model and viterbi algorithm

  Language:Jupyter Notebook3201

• alexkartun/Sequence-Tagging

  HMM/MEMM - Viterbi/greedy decoders.

  Language:Python110

• HaoranJ/Viterbi-decoded-MEMM

  Viterbi-Decoded Maximum Entropy Markov Model

  Language:Java1202