Mahdiyar Molahasani's starred repositories
PLL-Emotion-EEG
Under Review
Adapted-Center-and-Scale-Prediction
Pytorch implementation of "Adapted Center and Scale Prediction: More stable and More Accurate"
BS-Nets-Implementation-Pytorch
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image
GaborConv2D
Gabor Convolutional Layer.Open to Contributions. Link to paper https://github.com/ucalyptus/GaborConv2D/blob/master/gabor.pdf
Pneumothorax-Segmentation-using-Hypercolumns
Collapsed Lung Segmentation using Hypercolumns . Open to Contributions
EarthEngine-Deep-Learning
Land Cover Classification based on Landsat-8 imagery from Google Earth Engine
Spotify-Recommendation-Engine
Music Recommender System
DARecNet-BS
[IEEE GRSL] - DARecNet-BS: Unsupervised Dual Attention Reconstruction Network for Hyperspectral Band Selection
crowd_counting
Crowd Counting
Optical-Flow
Implement Lucas-Kanade optical flow estimation, and test it for the two-frame data sets provided in Python from scratch
optical-flow-tracking
Using Optical Flow for Detection Motion object.
py-denseflow
Extract TVL1 optical flows in python (multi-process && multi-server)
cv_opt_flow
OpenCV OpticalFlow showcase sample
optical-flow-filter
A real time optical flow algorithm implemented on GPU
vision-hw3
Optical flow
dense_flow
Tools to extract dense optical flow from videos, based on OpenCV
deep-learning-1
Repo for the Deep Learning Nanodegree Foundations program.
pytorch-VideoDataset
Tools for loading video dataset and transforms on video in pytorch. You can directly load video files without preprocessing.
Video-Dataset-Loading-Pytorch
Generic PyTorch Dataset Implementation for Loading, Preprocessing and Augmenting Video Datasets
pytorch-pretrained-BERT
đź“–The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
A-Novel-Recursive-Network-for-Irony-Detection-in-Tweets
Course Project (ELEC 880 @ Queen's University)
Implementatio-of-Fast-Orthogonal-Search
Course Project (ELEC 841 @ Queen's University)