### Sparse Matrix Multiplication in JAX

In this post I’ll share my sparse matrix multiplication implementation in JAX, which could be useful for other problems besides implementing graph neural networks.

### Implementing Graph Neural Networks with JAX

In this post I explain how to implement two different Graph Neural Networks using JAX. I start with an introduction to JAX and move to the implemententations of Graph Convolutional Neural Networks and Graph Attention Networks.

### Neural art style transfer in Tensorflow

In order to practise a little bit with Tensorflow I have implemented the paper A Neural Algorithm of Artistic Style. I think it is an easy algorithm to code, and I encourage all the people who want to learn about Deep Learning or the ones who are trying to learn how to use a new framework to implement it themselves.

### Reverse a Torch Tensor

Reversing a Tensor in Torch is not as easy as it is with Numpy, this is my one line code to reverse a Tensor in one dimension.