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30-days-of-html

A step by step guide to learn the concept of HTML, DOM tree, and web development in 30 days.

advanced-cnn-architectures

american-sign-language-detection-using-deep-learning

This project aims to detect American Sign Language using PyTorch and deep learning. The neural network can also detect the sign language letters in real-time from a webcam video feed.

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

blog

canny-edge-detector-from-scratch

Building a Canny Edge Detector from scratch using Python

canny_edge_detector

Canny Edge detector library

cannyedgedetection-from-scratch-python

This is an implementation of Canny Edge Detection Algorithm in Python without using any library.

car-model-recognition

comparative-study-of-ed-svm-ann-and-cnn-for-face-recognition-using-sift-and-hog-feature-extractors

This ​ project describes various feature extraction techniques for human face recognition and does a comparative analysis among them. Over past couple of decades, face recognition has been a research area of great interest. There are three techniques primarily studied. The first being SIFT features (Scale Invariant Feature extraction) + Support Vector Machine and ANN. Another approach studied is HOG features(Histogram Of Gradients) with Support vector Machine and Artificial Neural Networks. Most importantly, Convolutional Neural Network is also studied. And Lastly, Euclidean distance based face recognition is also carried out. The purpose of this analysis is to demonstrate the most effective and feasible technique for face recognition in terms of design, implementation and applications. Keywords—Face recognition, Histogram of Gradients , Neural networks, Scale invariant feature transform (SIFT) , Support vector Machines.

complete-deep-learning

computer-vision-image-classification-using-bag-of-sift-features

Nearest Neighbor and one-vs-all SVMs

computervision-projects

Some simple computer vision implementations using OpenCV

courseware-embedded-machine-learning

data-science-best-resources

Carefully curated resource links for data science in one place

datascienceresources

Open Source Data Science Resources.

emg_classification_silent_speech_interface

hog-and-pca

human-detection-with-hog

Histogram of Oriented Gradients method applied to human detection

identify-the-animals-ai

Identify The Animals Using Inception Model

image-classification-using-sift-surf-feature-extraction-bag-of-features-and-svm-knn-rf

Image Classification Using SIFT & SURF Feature Extraction, Bag of Features and SVM&KNN&RF

image_processing

Image Processing techniques using OpenCV and Python.

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-using-python

Open Machine learning Projects

multiclass-classification-using-neural-networks

multitrain

Test several machine learning models on your dataset with few lines of code

mwdb--cse-515--image-data-retrieval-recognition-from-11k

LBP CM HOG SIFT PCA NMF LDA SVD PPR LSH K-means SVM Decision Tree and probabilistic relevance feedback system

oluwaseyi