Anaconda
Here you can find how to successfully install Anaconda, Google Cloud libraries and OpenCV in Ubuntu 20, as well as drivers for a GPU NVIDIA RTX 2060
Arduino
In Arduino folder, there is a bash command to solve permissions issues in Arduino, as well as the code for a Temperature and Humidity sensor.
Autorun
Here there are commands for creating a service in Ubuntu.
BOVESPA
Here there is a code that analyzes Fibonnaci, RSI and closing price for stocks in Brazilian Stock Exchange, saving engineered variables to BigQuqery in order to create a dashboard in Data Studio.
C-Language
Notebooks of C language of my course on Udemy. There is also a Cellular Automata code in C that is intended to be used in LEDs.
Cellular Automata - One-Dimensional Cellular Automata from Scratch
This part has codes to develop Elementary Cellular Automata in Python, binary and 5 states, and also an experiment of adding a CA to a PyTorch CNN's kernel, to solve the MNIST task. The model achieves 99.29 accuracy
https://github.com/RubensZimbres/Repo-2021/tree/main/Cellular_Automata/Test/Learning/Tese/99.29t
Google-Cloud-Deploy
Here are the commands to successfully deploy a model in Google Cloud AI Platform.
Google-Cloud-Functions-Job
Here there are commands and Python files to deploy in Google Cloud Functions.
Google-Cloud-IAP
Here are the directions to securely connect your Jupyter Notebook to a Google Cloud Compute Engine via internal IP through an IAP (Identity-Aware Proxy) tunnel + TCP Forwarding. Full tutorial here: https://www.linkedin.com/pulse/connecting-jupyter-notebook-google-cloud-vm-using-only-rubens-zimbres/
Google-Cloud-OCR
Code for submitting documents to Document AI, OCR service from Google Cloud.
Google-Cloud-Storage
Python code to rename all files in storage, even if they have strange characters, as 'ç' and 'õ'.
Google-Cloud-Train
Instructions to submit a training job for AI Platform and inference.
Convolutional Graph Neural Networks in PyTorch
This folder brings Graph CNNs in PyTorch with dgl library. There is an Attention Graph Neural Net, as well as Graph Neural Nets for Classification and to find communities.
Hugging Face
Here there are codes to query GPT-2, for the Squeeze BERT (a smaller version of BERT).
Kali
Here there is a bunch of bash and Python scripts for ethical hacking, development of exploits and exploiting OWASP Top 10.
Keras
Codes for LSTM and simple neural network in Keras Sequential.
Neural_Cellular_Automata_Google
Here there is the code used by Google guys to create a Neural Cellular Automata, using Sobel filter.
OpenCV
A simple algorithm in OpenCV to detect filled circles in school tests:
OpenCV_Haarcascade
Here are the instructions to train your own object detector using haarcascade in OpenCV.
Prophet
Code to make predicions with Facebook's Prophet.
PySpark
A sample notebook in PySpark with some basic codes in example.py and ML classifiers .
PyTorch Geometric
Graph Neural Networks in PyTorch Geometric, for protein and molecule structure.
Python Vulnerabilities
This part shows how to install Bandit, a library that scans Python codes for common vulnerabilities to malicious hackers.
RRG
This code shows how to prepare data for RRG - Relative Rotation Graph, for stocks analysis of momentum and relative strength.
Tensorflow
Here there are codes of Gated Recurrent Units for Text Generation in Keras and links for the hierarchical Softmax activation function.
Transformer
In this section you will find codes to customize PyTorch architecture, load partial weights, a transformer implementation, beam search, generation of word embeddings and also a Transformer customized to act as a time series predictor, using floats instead og long integers, as the original.
ONNX
A tool to speed up inference time of PyTorch models.
Root dir: file Embeddings_PyT_TF.py
How to generate word embeddings (3,768) in PyTorch and Tensorflow.
Root dir: file GPU_GCP.txt
How to install NVIDIA driver in Google Cloud Compute Engine.