Najme61

3D-CNN-Keras

http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html

Abnormal_detection

Abnormal detection, using MRNN model and testing on UCSD dataset.

Abnormal_Event_Detection

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Anomaly-Detection

Dynamic anomaly detection in crowded scene videos using sparse autoencoders

Anomaly-Detection-in-Surveillance-Videos

Real-World Anomaly Detection in Surveillance Videos

anomaly-event-detection

Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.

AnomalyDetectionCVPR2018

ASAGS

Real Time Analysis of Crowd Behaviour for Automatic and Accurate Surveillance

C3D

C3D is a modified version of BVLC caffe to support 3D ConvNets.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Najme61/3D-CNN-Keras

http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html

Najme61/Abnormal_detection

Abnormal detection, using MRNN model and testing on UCSD dataset.

Najme61/Abnormal_Event_Detection

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Najme61/Anomaly-Detection

Dynamic anomaly detection in crowded scene videos using sparse autoencoders

Najme61/Anomaly-Detection-in-Surveillance-Videos

Real-World Anomaly Detection in Surveillance Videos

Najme61/anomaly-event-detection

Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.

Najme61/AnomalyDetectionCVPR2018

Najme61/ASAGS

Real Time Analysis of Crowd Behaviour for Automatic and Accurate Surveillance

Najme61/C3D

C3D is a modified version of BVLC caffe to support 3D ConvNets.

Najme61/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Najme61/deep_learning_object_detection

A paper list of object detection using deep learning.

Najme61/keras-anomaly-detection

Anomaly detection implemented in Keras

Najme61/Machine-Learning-by-Andrew-Ng-in-Python

Documenting my python implementation of Andrew Ng's Machine Learning course

Najme61/SRU-deeplearning-workshop

دوره 12 ساعته یادگیری عمیق با چارچوب Keras