dg32 Goto Github PK

ahlmss.github.io

AHL Man Systematic Strategies

aiclass

Materials for lab excercises, AI course @ FER

arctic

High performance datastore for time series and tick data

automated_trading_with_r

Source code and community enhancements for Automated Trading with R by Christopher Conlan, Springer/Apress Oct. 2016

autorccar

OpenCV Python Neural Network Autonomous RC Car

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-rl

Reinforcement learning resources curated

bayestsa

A Python library implementing Bayesian methods for solving estimation and forecasting problems in time series analysis

cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

carnd-tensorflow-lab

TensorFlow Lab for Self-Driving Car ND

clr

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

cookbook-data

Datasets used in the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

cs231n.github.io

Public facing notes page

deep-learning-coursera-complete

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep_q_rl

Theano-based implementation of Deep Q-learning

deeprlhw2

dx

DX Analytics

engine

Open Source Risk Engine

fpp

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.

hands-on-reinforcement-learning-with-python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hjb-solver

Numerical solution of Hamilton Jacobi Bellman equations

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

ipython-notebooks

A collection of IPython notebooks covering various topics.

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.

labjournalwebsite

An R Markdown website template for a lab journal