eddyakp Goto Github PK

30-days-of-react

30 Days of React challenge is a step by step guide to learn React in 30 days. This challenge needs an intermediate level of HTML, CSS, and JavaScript knowledge. It is recommended to feel good at JavaScript before you start to React. If you are not comfortable with JavaScript check out 30DaysOfJavaScript. This is a continuation of 30 Days Of JS.

3d-cnn-action-recognition

Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.

actionai

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

ai-personal-voice-assistant-using-python

anomalydetectioncvpr2018

anomalyeventdetection

Unsupervised deep learning system for local anomaly event detection in crowded scenes

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cpe461-assignment-on-cgpa-calculators-

MY CALCULATOR CAN YOUR CGPA ...ENJOY

create-nix

Expect the unexpected

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

datacamp-python-data-science-track

All the slides, accompanying code and exercises all stored in this repo. 🎈

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

docs

TensorFlow documentation

eddyakp

Config files for my GitHub profile.

edu1904065-lawal-olalekan-edm-educational-management

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

final-year-project-uniben

Final year project work at the Department of Computer Engineering, University of Benin, year 0f 2020. [TOPIC: Control design and hardware implementation of a multirotor system]

group-5

CGPA and Transcript and software written in Python

humanbehaviorbku

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

inception

keras-io

Keras documentation, hosted live at keras.io

models

Models and examples built with TensorFlow

normalize.css

A modern alternative to CSS resets

python

real-time-abnormal-events-detection-and-tracking-in-surveillance-system

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm.

realtimeobjectdetection

roadmaps

This repo is to add pages on various career paths and roadmaps such as data scientist, software engineer etc.

suspicious-human-activity-recognition-in-railway-stations

Suspicious Human Activity Recognition is completely developed in Python for surviellance in railway stations through camera.

tfm-anomaly-detection

Master's thesis in Data Sciences. Comparison and proposal of enhancement for "Real-world anomaly detection in surveillance videos"