Paulo Olveira's repositories
awesome-blockchains
A collection about awesome blockchains - open distributed public databases w/ crypto hashes incl. git ;-). Blockchains are the new tulips :tulip::tulip::tulip:. Distributed is the new centralized.
OSCP-Survival-Guide
Kali Linux Offensive Security Certified Professional Survival Exam Guide
xgboostExplainer
An R package that makes xgboost models fully interpretable
ga-traffic-simulator
Simulates traffic to a Google Analytics property based on a JSON config file
side-project-marketing
A checklist of tactics for marketing your side projects.
text_classification
all kinds of text classificaiton models and more with deep learning
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
ELL
Embedded Learning Library
learn-anything
🌍 Search Interactive Mind Maps to learn anything
StackNet
StackNet is a computational, scalable and analytical Meta modelling framework
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
bondis
Análisis de la conectividad de la red de colectivos de Buenos Aires
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
UltimateAndroidReference
:rocket: Ultimate Android Reference - Your Road to Become a Better Android Developer
DnD
585 Semester Project
project-based-learning
Curated list of project-based tutorials
sublime-package-setting
Sublime config
mapscii
🗺 MapSCII - Braille & ASCII map renderer for your console => telnet mapscii.me
awesome-serverless
:cloud: A curated list of awesome services, solutions and resources for serverless / nobackend applications.
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
awesome-deep-learning-papers
The most cited deep learning papers
trump2cash
A stock trading bot powered by Trump tweets
practical-pytorch
Practical PyTorch tutorials, focused on using neural networks for natural language tasks
DLIF-tutorial
Coding example of DLIF tutorial