pacocp

setup.py

📦 A Human's Ultimate Guide to setup.py.

vscode

Visual Studio Code

cloudml-samples

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

skullStrip

resnet_cnn_mri_adni

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

keras-residual-unit

customize this building block to make all the residual connections you can dream of

apuntes

Apuntes de varias asignaturas de Informática y Matemáticas

resume.github.com

Resumes generated using the GitHub informations

GolangTraining

Training for Golang (go language)

models

Models and examples built with TensorFlow

keras-js

Run Keras models in the browser, with GPU support using WebGL

hospitalrun-frontend

Frontend for HospitalRun

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

quiver

Interactive convnet features visualization for Keras

keras-vis

Neural network visualization toolkit for keras

cs231n.github.io

Public facing notes page

awesome-data-engineering

A curated list of data engineering tools for software developers

playing-the-internship-game

the rules, tips, and tricks I've learned on how to approach tech internships

sed-hackers

My talk to first-year Computer Science students [Spanish]

Best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

NeuroNER

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

sqline

🛠️ Simple command line tool to query databases

keras-visuals

Tools to help you visualise the training of your Keras model

config

Apps/CLIs/configs I use on macOS/iOS. Fish, Karabiner, Cursor..

learn-anything.xyz

Organize world's knowledge, explore connections and curate learning paths

DSB2017

Code for 2nd place solution to the 2017 National Data Science Bowl

DSB2017

The solution of team 'grt123' in DSB2017

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

guides

A guide for programming in style.