Longging

Longging's Stars

• connorlee77/pytorch-mutual-information

  Mutual Information in Pytorch

  Language:Python10710

• Mikoto10032/AutomaticWeightedLoss

  Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

  Language:Python58282

• frgfm/torch-cam

  Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

  Language:Python2k208

• amsahasrabudhe/Indoor-Scene-Recognition

  This repository contains codes and project report for Indoor Scene Recognition project implemented using CNN in MATLAB.

  Language:Matlab56

• GoldenDev176743/Speech_recognition

  MFCC, CNN, MATLAB

  Language:MATLAB1

• yx-elite/face-recognition-deep-network-designer

  This project involves constructing a face recognition CNN using MATLAB's Deep Network Designer and conducting a comparative analysis with transfer learning utilizing the pre-trained ResNet50 architecture.

  Language:MATLAB1

• why-kj-why/SincNet_Gender_Recognition

  Automatic speaker gender recognition from raw input audio waveforms using a modified SincNet CNN arcitecture trained on the VoxCeleb Gender dataset using MatLab

  Language:MATLAB31

• wavefrontshaping/complexPyTorch

  A high-level toolbox for using complex valued neural networks in PyTorch

  Language:Python633148

• Medabid1/ComplexValuedCNN

  Complex Valued CNN

  Language:Python186

• isl-org/MultiObjectiveOptimization

  Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

  Language:Python983171

• Jongchan/attention-module

  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

  Language:Python2.1k401

• ranandalon/mtl

  Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

  Language:Python54778

• momenator/deform_conv

  Pytorch implementation of 2D and 3D deformable convolution specified in https://arxiv.org/abs/1703.06211.

  Language:Python193

• lshiwjx/deformable-3d-convnets

  Deformable 3D ConvNets for Action Recognition

  Language:Python103

• kondratevakate/3d-deformable-convolutions

  A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet

  Language:Python5712

• 1Konny/VIB-pytorch

  Pytorch implementation of Deep Variational Information Bottleneck

  Language:Python17624

• 4uiiurz1/pytorch-deform-conv-v2

  PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

  Language:Python743141

• WangYueFt/dgcnn

  Language:Python1.6k422

• MStamatis/frft2d

  This is a package for calculating 2D fractional fourier transforms with NumPy.

  Language:Python175

• mhaghighat/dcaFuse

  Feature fusion using Discriminant Correlation Analysis (DCA)

  Language:MATLAB6229

• yanx27/Pointnet_Pointnet2_pytorch

  PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

  Language:Python3.7k893

• open-mmlab/mmpose

  OpenMMLab Pose Estimation Toolbox and Benchmark.

  Language:Python5.8k1.2k

• mitmul/deeppose

  DeepPose implementation in Chainer

  Language:Python408129

• zhaoymn/cubelearn

  official repo of CubeLearn (IOT-J 2023)

  Language:Python274

• dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

  In PyTorch Learing Neural Networks Likes CNN、BiLSTM

  Language:Python1.2k342

• awslabs/handwritten-text-recognition-for-apache-mxnet

  This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.

  Language:Jupyter Notebook488189

• luopeixiang/named_entity_recognition

  中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

  Language:Python2.1k537

• chendaichao/GCN-pointcloud-classification

  PointNet and GCNs for pointcloud classification.

  Language:Python245

• ashariati/pulson_ros

  Language:C38

• ntu-aris/ntu_viral_dataset

  Language:SCSS14214