nlifors

ember-render-modifiers

Implements did-insert / did-update / will-destroy modifiers for emberjs/rfcs#415

linuxupskillchallenge

Learn the skills required to sysadmin a remote Linux server from the commandline.

ud923-notes

Study notes for ud923

deep_q_rl

Theano-based implementation of Deep Q-learning

gdrl

Grokking Deep Reinforcement Learning

reinforcement-learning-sutton

Solutions to selected exercises from the book Sutton, R. S. & Barton, A.: Reinforcement Learning: An Introduction. 2nd Edition (in progress), MIT Press, Cambridge, MA, 2017.

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.

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

btgym

Scalable, event-driven, deep-learning-friendly backtesting library

ember-cli-cjs-transform

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

export

Erlport wrapper for Elixir

stimulus

A modest JavaScript framework for the HTML you already have

models

Models and examples built with TensorFlow

TF_ObjectDetection_API

Tutorial on how to create your own object detection dataset and train using TensorFlow's API

Reinforcement-Learning-Notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

foodborne_classifier

The classifier used in the http://foodborne.smartchicagoapps.org/ application.

pbnt

PBNT: Python Bayes Network Toolbox

gym

Reinforcement learning problems solved using Open AI Gym

cs7641-assignment4

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

CS-7641-assignment-3

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Solid

🎯 A comprehensive gradient-free optimization framework written in Python

Time-Series-Momentum

data-science_projects

Data Science Projects Repository

pywonderland

A tour in the wonderland of math with python.

disco

a Map/Reduce framework for distributed computing

100days

100 days of algorithms

Tensorflow-101

TensorFlow Tutorials

medicine

Guide to healthy living with plant-based diet.