ai-ush

A collection of AI/ML learning projects from the good ol' days — courses, experiments, and obsessions.

Contents

• Neural-Nets — from-scratch neural networks, MNIST, neural style transfer, lyrics generation
• NLP — natural language processing experiments
• Tensorflow — TensorFlow projects and models
• Scikit — scikit-learn practice
• Libraries — library explorations

Coursera

• Machine Learning — Andrew Ng's ML course assignments (weeks 2–9): linear regression, logistic regression, neural nets, SVMs, k-means, PCA, anomaly detection, collaborative filtering
• Deep Learning — Deep Learning Specialization: CNNs, RNNs, sequence models, optimization, regularization

17 Days of OpenCV

Day-by-day OpenCV projects: face detection, document scanning, ball tracking, drowsiness detection, facial landmarks, object detection, and more.

Projects

• IMDB-reviews — sentiment analysis on IMDB reviews using ML (Naive Bayes, SVM), deep networks, and GloVe embeddings
• Invert-images-CNN — CNN trained to detect and correct inverted/rotated images
• Pokemon — Pokemon image classification with CNNs and transfer learning