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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-free-deep-learning-papers

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PYMC3)

btc-play-app

A Scala Play App that filteres and visualizes BTC data that's dynamically fetched via a Coinbase API

courses

fast.ai Courses

cse-4471

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

deep-learning-experiments

Notes and experiments to understand deep learning concepts

demo_app

docker_mlx

doing-frequentist-statistics-with-scipy

Repository for the PyData DC 2016 tutorial

first_app

gradientdescentexample

Example demonstrating how gradient descent may be used to solve a linear regression problem

http_request_randomizer

Proxying Python Requests

ipython-plotly

A collection of data science IPython notebooks with Plotly graphs

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

maps

Repository for all spatial data.

mortgage-market-tri-analysis

Imbalanced Class Classifier, Constrained Optimization, and Time Series Forecasting

neural-networks-demystified

Supporting code for short YouTube series Neural Networks Demystified.

neural-networks-intro

An introduction to neural networks, building up from linear regression...

octoblog

Our final project for CSE 3901

pong_reinforcement_learning

This is the code for the SF Python meetup group tutorial on reinforcement learning

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 ;)

pulse

phData Pulse application log aggregation and monitoring

pydata-sf-2016-arima-tutorial

PyData San Francisco 2016 - ARIMA Tutorial

pythondatasciencehandbook

Jupyter Notebooks for the Python Data Science Handbook

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

sf-data-workshop