rloliveirajr

MLPlayground

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

Jarvis

Personal Assistant for Linux and macOS

FlappyLearning

Program learning to play Flappy Bird by machine learning (Neuroevolution)

fastText

Library for fast text representation and classification.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

trilateration

Solves a formulation of n-D space trilateration problem using a nonlinear least squares optimizer

data-science-ipython-notebooks

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.

data_science_delivered

Observations from Ian on successfully delivering data science products

layered

Clean implementation of feed forward neural networks

Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

ReScience

The ReScience journal. Reproducible Science is Good. Replicated Science is better.

nn-from-scratch

Implementing a Neural Network from Scratch

mclass-sky

A collection of active learning algorithms with applications in astronomy.

deepdream

python3-in-one-pic

Learn python3 in one picture.

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

statsample

A suite for basic and advanced statistics on Ruby.

plotrb

A plotting library in Ruby built on top of Vega and D3.

rubyvis

Ruby version of Protovis, a visualization toolkit.

distribution

Statistical Distributions multi library wrapper. Uses Ruby by default and C (statistics2/GSL) or Java extensions where available.

nmatrix

Dense and sparse linear algebra library for Ruby via SciRuby

integration

Integration methods, based on original work by Beng

minimization

Minimization algorithms on pure Ruby