mmargenot Goto Github PK

ai-for-butterflies

AI for butterfly wing size and color using digitized museum collections

bootstrap

Bootstrap python projects

cvxstoc

Disciplined convex stochastic programming. For the cvxstoc home page, please see:

data

Data and code behind the stories and interactives at FiveThirtyEight

dotfiles

Personalized system settings

drive

Google Drive client for the commandline

edward

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

flax

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

foundations-of-numerical-computing

Lecture Slides, Exercises, and Deployment Materials

glove

GloVe model for distributed word representation

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.

keras

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

machine-learning-a-probabilistic-perspective

Code for Murphy's book

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.

musiqq

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

mycroft-skills

A repository for sharing and collaboration for third-party Mycroft skills development.

orator

Generate audiobooks from ebooks using AI

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

prefect-recipes

Snippets and templates representing common Customer Success patterns

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 ;)

prysm

We have always been at war with Eastasia

pydata-cookbook

PyData Coobook Project

pyfolio

Portfolio and risk analytics in Python

pymc3

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

pymc4

A high-level probabilistic programming interface for TensorFlow Probability

pyranoia

research_public

Quantopian research projects