Hi there 👋

I'm Mashaan (مشعان)

I create YouTube tutorials, and for each video, I also create a corresponding Jupyter notebook or Markdown file. You can find all of these materials in this repository, organized into the following sections:

• Vision Transformers
• Swin Transformer
• Neural Radiance Fields (NeRF)
• Detection and Tracking
• Graph Neural Networks
• JAX Performance
• Convolutional Neural Nets
• Spectral Clustering
• Introduction to Neural Nets

Vision Transformers

Vision Transformers implemented in PyTorch and JAX.

Title	Code	Video
Vision Transformers (ViT): A JAX Tutorial for Image Classification	code
Vision Transformers (ViT) pytorch code	code
Fine-tuning Vision Transformers on TPU (ImageNet/CIFAR-10)	code
ViT vs CNN: A Comparative Experiment	code

Swin Transformer

Swin transformer code analysis and attention visualization.

Title	Code	Video
Analyzing Swin Transformer: A Code Walkthrough	code
A Deep Dive into Swin Transformer Attention Maps	code

Neural Radiance Fields (NeRF)

Videos about Neural Radiance Fields (NeRF) and Gaussian splatting.

Title	Code	Video
VGG-SfM and Mip-NeRF 360 Pipeline for iPhone Video 3D Reconstruction	code
Exploring Mip-NeRF 360: A Quick TPU Experiment	code
Nerfstudio on Lightning AI (GPU Installation Tutorial)	code
Structure from Motion (SfM): From COLMAP to VGGSfM	code
How NeRF Works: Exploring a Tiny NeRF Code	code
3D Gaussian Splatting: Optimization Explained & Viewer Demo	code

Detection and Tracking

Computer vision experiments exploring object detection and point tracking.

Title	Code	Video
Hands-On with TAPIR: Point Tracking Experiment & Code Walkthrough	code
Experimenting Object Detection with DETR	code

Graph Neural Networks

Famous GNNs implemented in PyG, DGL, and jraph.

Title	Code	Video
Graph Convolutional Networks (GCNs) in PyTorch	code
Graph Sampling for GNNs: A Tutorial	code
Understanding Mini-Batch Training in PyTorch Geometric	code
Graph Attention Networks with PyTorch Geometric	code
Graph Attention Networks with DGL	code
Graph Attention Networks with JAX	code
Implementing GNN Neighbor Sampler in JAX: A Practical Guide	code
Building a Cluster-GCN Model with JAX: A Step-by-Step Guide	code
Training GCNs with PyG and Jraph: A Side-by-Side Comparison	code
PyTorch code for GCN and SGC	code
GCN Variants: SGC and ASGC	code

JAX Performance

Videos about how to get free TPUs through Google's TPU Research Cloud and JAX JIT compilation (Python to JAXPR) for maximum speed.

Title	Code	Video
Free TPU Access & JAX/PyTorch Setup with TPU Research Cloud	code
JAX JIT Compilation Explained: From Python to JAXPR	code

Convolutional Neural Nets

Convolutional Neural Nets implemented in PyTorch and JAX.

Title	Code	Video
PyTorch Conv2d Explained	code
JAX Conv Layer Explained	code
CNNs with Flax: A JAX Tutorial for Image Classification	code

Spectral Clustering

Code walkthroughs for spectral clustering and sparse subspace clustering.

Title	Code	Video
A Step-by-Step Guide to Spectral Clustering	code
Exploring Sparse Subspace Clustering: Theory and Practice	code

Introduction to Neural Nets

This playlist covers fundamental neural network concepts blending theory and practical coding.

Title	Code	Video
JAX and Flax: A Simple Neural Network	code
Simple Neural Net in PyTorch	code
RBF: The Most Liked Formula in Machine Learning	code
The Perceptron: A Building Block of Neural Networks	code