Negar Heidari (negarhdr)

negarhdr

Geek Repo

Company:Aarhus University

Location:Aarhus, Denmark

Home Page:negar.heidari@ece.au.dk

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Negar Heidari's repositories

skeleton-based-action-recognition

This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.

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FER_PSTBLN_MCD

PyTorch implementation of landmark-based facial expression recognition using Spatio-Temporal BiLinear Networks (ST-BLN)

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PGCN

PyTorch implementation of PGCN algorithm.

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3D-Machine-Learning

A resource repository for 3D machine learning

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cad-modularization

This repo implements a sub-assembly retrieval method for Computer-Aided Design (CAD) models, based on geometric feature learning

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continual-inference

Building blocks for Continual Inference Networks in PyTorch

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continual-skeletons

Official codebase for "Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks"

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Efficient-Facial-Feature-Learning-with-Wide-Ensemble-based-Convolutional-Neural-Networks

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

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flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

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GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

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gcn

Implementation of Graph Convolutional Networks in TensorFlow

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opendr

A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning

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Graph_Powered_ML_Workshop

Material and Notebooks for the Graph Powered ML Workshop September 2020 @Aalborg University.

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keras-gcn

Keras implementation of Graph Convolutional Networks

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lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

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mixhop

Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

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mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

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NTURGB-D

Info and sample codes for "NTU RGB+D Action Recognition Dataset"

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opendr-activity-recognition-demo

OpenDR human activity recognition demo

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parametric-tsne-keras

a python implementation of Parametric t-SNE in Keras

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pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

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pytorch-benchmark

Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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