Mahsa-Nobakht
Follow
Stars
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Notes and reflections of learning data science
A Langchain app that allows you to chat with multiple PDFs
Current repository contains all assignments, notes, quizzes and course materials from the "Python for Everybody Specialization" provided by Coursera and University of Michigan.
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samu…
Full Notes of Andrew Ng's Coursera Machine Learning.
Coursera Machine Learning By Prof. Andrew Ng
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Pytorch implementation of SpatioTemporal AutoEncoder
This is an official implementation for "Attention-based Residual Autoencoder for Video Anomaly Detection".
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
Latent space autoregression for novelty detection.
In this project, we have implemented a model in which we integrate ConvNet and ConvLSTM with Auto-Encoder (Spatiotemporal Auto-Encoder) to learn the regularity of appearance and motion for the ordi…
Implementation of Convolutional Autoencoders(spatio-temporal) to be trained over Avenue and UCF Datasets to identify anomalous activities.
This projects detect Anomalous Behavior through live CCTV camera feed to alert the police or local authority for faster response time. We are using Spatio Temporal AutoEncoder and more importantly …
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 …
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models
tfyolo: Efficient Implementation of Yolov5 in TensorFlow
Convolutional LSTM Autoencoder for detecting anomalies in video data