Giuliano Mega's repositories
callblocker
Um bloqueador de chamadas amigável para telefones fixos que roda no Raspberry Pi.
blockexc-parser
Scratchpad repo with debugging code.
nim-metrics
Nim metrics client library supporting the Prometheus monitoring toolkit, StatsD and Carbon
alternate-test-runner
Alternate test runner for Codex dist tests
codex-nat-env
NAT test env for Codex with docker-compose
codex-research
Codex durability engine research
decentralized-osns-phd
Code for simulation and analysis of large dynamic networks, developed during my Ph.D.
echarts-sample
Simple exploration of echarts + react.
echoprint-codegen
Codegen for Echoprint
gcloud_logs
Download and stream Stackdriver logs from specific Compute Engine instances directly into your console.
gdocs-heading-numbers
A Google Docs add-on for automatically generating heading numbers.
http-pubsub-tools
Easily process PubSub messages from HTTP handlers with batching control.
junit-attachments-plugin
Jenkins junit-attachments plugin
kademlia
A DHT in Python using asyncio
Nim
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
nimbus-build-system
common parts of the build system used by Nimbus and related projects
playaxdata
An evolving client and API for accessing Playax data from R
rspec_junit_formatter
RSpec results that your CI can read
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.