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aoc2020

https://adventofcode.com/2020

atom

Automated Tool for Optimized Modelling

atom-ml-feedstock

A conda-smithy repository for atom-ml.

autorefs

Automatically link across pages in MkDocs.

category_encoders

A library of sklearn compatible categorical variable encoders

cuml

cuML - RAPIDS Machine Learning Library

deep-learning-specialization

Assignments for the coursera Deep Learning specialization given by Andrew Ng and provided by deeplearning.ai. Assignments were made in Python using Jupyter Notebook.

excel-to-plot

Plot histogram and joint-plots taking data from an excel or csv file.

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

explainerdashboard-feedstock

A conda-smithy repository for explainerdashboard.

featuretools

An open source python library for automated feature engineering

machine-learning

Assignments for the coursera course Machine Learning given by Andrew NG and provided by Stanford University. Assignments were made in Octave.

mkdocs-material

Technical documentation that just works

neural-networks-for-machine-learning

Assignments for the coursera course Neural Networks for Machine Learning given by Geoffrey Hinton and provided by the University of Toronto. Assignments were made in Octave.

option_pricing

pycaret

An open-source, low-code machine learning library in Python

reinforcement-learning

Scripts used to solve the OpenAI Gym LunarLander-v2 environment.

scikit-learn

scikit-learn: machine learning in Python

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

sktime

A unified framework for machine learning with time series

zoofs

zoofs is a Python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.