mfcabrera

hooqu

hooqu is a library built on top of Pandas-like Dataframes for defining "unit tests for data". This is a spiritual port of Apache Deequ to Python

ichbineinberliner

http://mfcabrera.com/blog/2015/1/17/ichbineinberliner.html

fswatch-rsync

conda-auto-env

Automatically activate a conda environment when entering a folder with `*_env` directory

dotemacs

My new emacs configuration

mac-ansible

cs231n

CS231n Assignments and other code

scikit-learn

scikit-learn: machine learning in Python

arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

bump2version

Version-bump your software with a single command

carta

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

cd4ml-workshop

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

corona

data-science-interviews

Data science interview questions and answers

dirty_cat

Encoding methods for dirty categorical variables

docker-fastai

docopt

Pythonic command line arguments parser, that will make you smile

doom-emacs

An Emacs framework for the stubborn martian hacker

grip

Preview GitHub Markdown files like Readme locally before committing them.

hello-github-actions

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

mfcabrera.github.io

Going back to Jekkyl

ml-training-advanced

Materials for the "Advanced Scikit-learn" class in the afternoon

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

neural-style-pt

PyTorch implementation of neural style transfer algorithm

presentation-resources

Some links, tools and resources for creating presentations. Particularly targeted to non-artsy persons.

pydeequ

Python API for Deequ

shap

A unified approach to explain the output of any machine learning model.

tymongoimport