Mashaan's YouTube channel
Here are the notebooks I used in my YouTube videos.
| 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 |  |