mmargenot

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

machine-learning-market-maker

Implementation of a Bayesian-style market maker in the vein of 'Intelligent Market-Making in Artificial Financial Markets' by Sanmay Das

mcwi

A Monte Carlo-Worlds Interpretation of time series data.

orator

Generate audiobooks from ebooks using AI

pyfolio

Portfolio and risk analytics in Python

talks

Talks that I have given/plan to give

vol-surfaces

Generate volatility surface for an option chain

mmargenot/talks

Talks that I have given/plan to give

mmargenot/Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mmargenot/orator

Generate audiobooks from ebooks using AI

mmargenot/pyfolio

Portfolio and risk analytics in Python

mmargenot/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

mmargenot/mcwi

A Monte Carlo-Worlds Interpretation of time series data.

mmargenot/pydata-cookbook

PyData Coobook Project

mmargenot/sensitivipy

mmargenot/zipline

Zipline, a Pythonic Algorithmic Trading Library

mmargenot/machine-learning-a-probabilistic-perspective

Code for Murphy's book

mmargenot/musiqq

m e m e l e a r n i n g

mmargenot/PRYSM

We have always been at war with Eastasia

mmargenot/pymc4

A high-level probabilistic programming interface for TensorFlow Probability

mmargenot/sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

mmargenot/ai-for-butterflies

AI for butterfly wing size and color using digitized museum collections

mmargenot/bootstrap

Bootstrap python projects

mmargenot/dotfiles

Personalized system settings

mmargenot/drive

Google Drive client for the commandline

mmargenot/edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

mmargenot/flax

Flax is a neural network library for JAX that is designed for flexibility.

mmargenot/foundations-of-numerical-computing

Lecture Slides, Exercises, and Deployment Materials

mmargenot/GloVe

GloVe model for distributed word representation

mmargenot/keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

mmargenot/pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

mmargenot/prefect-recipes

Snippets and templates representing common Customer Success patterns

mmargenot/pymc3

Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.

mmargenot/pyranoia

mmargenot/stationaryprocess.com

mmargenot/virgil

Book recommendations

mmargenot/wronglifts