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100-days-of-ml-code

100-Days-Of-ML-Code中文版

abnormal_detection_video_surveillance

Source code for abnormal detection on MIT video surveillance dataset using Nonnegative Matrix Factorization

abnormalbehavingdetection

Diploma thesis repository

abnormaldetection

abnormaldrivingdetection

Abnormal Driving Detection Based on DNN

activity-recognition-with-cnn-and-rnn

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

activityrecognition

Information about activity recognition

adcsf

Abnormal Event Detection in Videos - video surveillance

adversarialnetspapers

The classical Papers and codes about adversarial nets

anomaly-detection-in-surveillance-videos

Real-World Anomaly Detection in Surveillance Videos

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

awesome-vehicle-re-identification

collection of dataset&paper&code on Vehicle Re-Identification

charades-algorithms

Activity Recognition Algorithms for the Charades Dataset

daps

This repo allocate DAPs code of our ECCV 2016 publication

deep-learning-activity-recognition

A tutorial for using deep learning for activity recognition

deep-learning-har

Convolutional and LSTM networks to classify human activity

deep-neural-networks-healthcare

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

dlinterview

Deep Learning Interview 深度学习面试题目汇总

event-based_vision_resources

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

linghu-codes

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

machine-learning-notes

This contains my machine learning notes in latex form

machinelearning

Machine learning resources

online-anomaly-detection-in-crowded-scenes

Given a video sequence, the algorithm can process frames online to calculate Temporal Occupancy Variation and Entropy metrics, and then detect abnormal events in crowded scenes based on this metrics.

paper-collection

A track of papers I read

psdfi_abnormaldetection

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

scnn

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs