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.
FER_PSTBLN_MCD
PyTorch implementation of landmark-based facial expression recognition using Spatio-Temporal BiLinear Networks (ST-BLN)
3D-Machine-Learning
A resource repository for 3D machine learning
cad-modularization
This repo implements a sub-assembly retrieval method for Computer-Aided Design (CAD) models, based on geometric feature learning
continual-inference
Building blocks for Continual Inference Networks in PyTorch
continual-skeletons
Official codebase for "Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks"
Efficient-Facial-Feature-Learning-with-Wide-Ensemble-based-Convolutional-Neural-Networks
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
opendr
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
Graph_Powered_ML_Workshop
Material and Notebooks for the Graph Powered ML Workshop September 2020 @Aalborg University.
keras-gcn
Keras implementation of Graph Convolutional Networks
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.
mmskeleton
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
NTURGB-D
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
opendr-activity-recognition-demo
OpenDR human activity recognition demo
parametric-tsne-keras
a python implementation of Parametric t-SNE in Keras
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
pytorch-benchmark
Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption
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
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
ViT-CIFAR
PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 86M).
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch