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learning-python

Code generated from Learning Python by Mark Lutz

learning-quantitative-finance-with-r

Code repository of Learning Quantitative Finance with R by Packt

learning-to-learn

Learning to Learn in TensorFlow

linear_regression_demo

This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube

linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

ltparse

Python tool for creating Terraform out of simple layout files

lvvd

Listed Volatility and Variance Derivatives (Wiley Finance)

m2e-code-quality

A collection of Eclipse plugins for M2Eclipse that carry configuration from the Checkstyle and PMD Maven plugins to their corresponding Eclipse plugins.

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machinejs

Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

machine_learning

Python coded examples and documentation of machine learning algorithms.

machine_learning_examples

A collection of machine learning examples and tutorials.

make_a_neural_network

This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube

make_a_neural_net_live_demo

This is the code for the "How to Make a Neural Net" live session by @Sirajology on Youtube

marketcetera

fork of marketcetera from public svn tag 1.5.0 -r10570

mastering-python-for-finance-source-codes

Accompanying source codes for my book 'Mastering Python for Finance'.

matplotlib-gallery

Examples of matplotlib codes and plots

mfast

A FAST (FIX Adapted for STreaming) encoder/decoder

minibook-2nd-code

Code of the IPython Minibook, 2nd edition (2015)

mlxtend

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

models

Models built with TensorFlow

modsimpython

Text and supporting code for Modeling and Simulation in Python

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

nests

:house_with_garden: :house:The NESTS application was built using Tradeoff Analytics. It allows users to search for FHA-eligible homes in the US using real-time data.

neural-art-tf

"A neural algorithm of Artistic style" in tensorflow

notebook

Jupyter Interactive Notebook

og-aws

📙 Amazon Web Services — a practical guide

og-commons

Libraries of common code supporting OpenGamma

og-izy