Link to practice reading in Japanese

Hello again. 

This time I'm here to share a link with several short books, organized by levels, and with audio (most of them).

Free easy japanese books

This link is also saved in my Japanese page.

Have fun!

Change of plans

In the last post I said I would update the tutorial of the deep learning API. But an urgent matter came first: learn to use SHAP. The subject will be a Toy Model for predicting the area of a 2D triangle based on its points.

The tutorial is not ready yet, but you can check it every week for new content, and the code is not open source yet.

When there is more updates, I'll let you know.

See ya.

Problems with PyTorch in Conda

So... I made a tutorial for using the Deep Lagrangian Fluids, but the training gets stuck in what I suppose it is a deadlock. However, the training works fine with Tensorflow. I know I said it was impossible to install the version I needed via conda (still is), but via pip, it is possible.

I'll post the tutorial update ASAP. There are some differences in the steps. I'm thinking about how to organize them.

Starting Unity

I finally decided to start learning Unity. Before building a Game Engine, I need to know how one works, right? For now I'll follow the official tutorial, and in the end I want to make a 2D spaceship game, probably similar to Chicken Invaders. I played it a lot in my childhood.

See ya.

Japanese Keyboard in Ubuntu

Hello, there. I'll just post the step by step to add the Japanese Keyboard in Ubuntu 20.04 because I always forget how.

It's here.

Cheers.

Starting Arena Engine

Yes, yes. It's been a long time. But now I found a goal for my engine. It will only implement a feature for another engine, like Quixel that was integrated in Unreal 5. Since I'm studying fluid (liquid) simulation with Deep Learning, I'm going to implement the Smoothed Particle Hydrodynamics (SPH). This is a relative old technique, so there are many works, even using CUDA and open source. This will help me a lot. 

Nevertheless, wish me luck.

New page released

I just made a tutorial to build and install all the dependencies to run the Deep Learning network I'm studying for fluid simulation, right here. For now, I can just execute it and visualize the results. The presentation video can be remade on your computer if you follow all the steps, no skipping or changing the order (please).

Soon I'm gonna find out the next step.

If you are interested on this topic and you want to work with Disney, check out the lib this project uses: Partio. And also, the SPlisH SPlasH that uses it.