JRS

denoising-diffusion-model. A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.

stable-diffusion-model-tutorial. An easy guide to stable diffusion models.

personalized-diffusion. A Tutorial on Customized Image Generation by Fine-Tuning the Stable Diffusion Models

kl_cross_entropy. Learning Tutorial on KL-Divergence and Cross Entropy

MLBasics-ANN. A Lesson and an interactive Tool for learning Artificial Neural Networks. (Implementation of Forward/Backprop algorithm using numpy)

MLBasics-Regression. A Lesson on Linear, Non-Linear and Logistic Regression.

var_autoencoder. This is a tutorial of variational autoencoder in python.

autoencoder-tutorial. This is a tutorial of autoencoders in python.

MLBasics-DecisionTrees. A Lesson & implementation of Decision Tree Classifier in Numpy and Python

MLBasics-DimensionalityReduction. Demo of various dimensionality reduction methods

MLBasics-Clustering. Implementation of Clustering Algorithms

DL-Convolutions. A GUI Visualization Tool with Explanation and Implementation of 1D/2D Convolutions.

azad-academy.github.io. HTML

transformer-attention. A comprehensive tutorial on attention computation in a transformer model.

vision-transformers. A review of the concept and examples of the vision transformers for various applications.