Mashaan's YouTube channel
Here are the notebooks I used in my YouTube videos.
GNN Node Sampler in JAX | code | ![]() |
Sampling for Graph Neural Networks | code | ![]() |
Graph Attention in DGL | code | ![]() |
Cluster-GCN Mini Batches in PyTorch Geometric | code | ![]() |
JAX Speed Test: IT'S FAST!!! | code | ![]() |
Convolutional Neural Net (CNN) in JAX | code | ![]() |
Vision Transformer (ViT) in JAX | code | ![]() |
Graph Attention Networks in JAX | code | ![]() |
JAX Conv Layer | code | ![]() |
Simple Neural Net in JAX | code | ![]() |
GCN code for PyTorch Geometric and Jraph | code | ![]() |
Sparse Subspace Clustering (SSC) | code | ![]() |
Graph Attention in PyTorch Geometric | code | ![]() |
PyTorch Conv2d Explained | code | ![]() |
GCN Variants: SGC and ASGC | code | ![]() |
DETR Object Detection | code | ![]() |
Spectral Clustering Code | code | ![]() |
CNN vs ViT: PyTorch Training | code | ![]() |
Simple Neural Net in PyTorch | code | ![]() |
PyTorch code for GCN and SGC | code | ![]() |
Perceptron Algorithm Code | code | ![]() |
Graph Convolutional Networks (GCNs) in PyTorch | code | ![]() |
Attention maps in vision transformers (ViT) | code | ![]() |
Seaborn plots | code | ![]() |