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action-recognition-in-real-time

A simple and fun video classification/action recognition using VGG16 as a feature extractor and RNN.

action-recognition-in-tensorflow

Contains additional materials for two keras.io blog posts.

action_recognition_opencv

action recognition

anomalydetection

Code, Resources and Data for Master's Thesis on Unsupervised Anomaly Detection

ant-colony-optimization-tsp

antcolony-tsp

attention-sentiment

My bachelor's degree thesis (with code and experiments) on sentiment classification of Russian texts using Bi-RNN with attention mechanism.

b8

b8 compiler from MMCS SFedU

backgroundremover

Background remover for images...

ball_tracker

A ball tracking pipeline using Yolo v3 as detector and OpenCV Tracking API

captcha_recognition

captcharecognition

cifar-10

cifar10_ml

Investigating the different supervised learning models to classify the CIFAR 10 dataset

cnn_keras_captcha

This a deep learning program for recognizing the captcha using keras with python.

conv3d-video-action-recognition

My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves results similar to those reported by authors

daily-and-sports

A Data Analytics project using pandas and sklearn where we try to create a model based on raw data of captors on muscles during sevrals activities.

draw.io

The source to www.draw.io

eece-7370-final-project

facial-recognition-based-attendance-system

Facial Recognition Based Attendance System using Python, Tensorflow, Keras, SqlLite3, Tkinter, OpenCV

fire-smoke-detection

Detecting Fire, Smoke using Computer Vision, Open CV and PyTorch

fireandsmokedetection

Fire and smoke detection using custom trained EfficientNet, Resnet and MobileNet models using TensorFlow keras for training and inference.

fraud-detection-for-mobile-transactions

A machine learning model for fraud detection in mobile transactions. Tuning with grid search, creating pipeline, checking feature importance for XGBoost, RandomForest Models.

human-action-recognition

Computer Vision Project : Action Recognition on UCF101 Dataset

human-activity-recognition

Human activity recognition plays a significant role in human-to-human interaction and interpersonal relations. Because it provides information about the identity of a person, their personality, and psychological state, it is difficult to extract. The human ability to recognize another person’s activities is one of the main subjects of study of the scientific areas of computer vision and machine learning. As a result of this research, many applications, including video surveillance systems, human-computer interaction, and robotics for human behavior characterization, require a multiple activity recognition system.

human-activity-recognition-1

Recognizing human activities using Deep Learning

izd

Как стать настоящим графоманом

kursovai

lmg-property-inspection-prediction

machine-learning-without-any-libraries

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms