wolfws Goto Github PK

jupyter_contrib_nbextensions

A collection of various notebook extensions for Jupyter

jupyter_nbextensions_configurator

A jupyter notebook serverextension providing config interfaces for nbextensions.

kdb

kdb-1

Code previously at kx.com/q

kdb-feedhandler-tutorial

kdb-tick

Latest source files for *kdb+tick*: previously at code.kx.com/wsvn/kx/kdb+tick

kdbtwitter

KDB Twitter Feed

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

keras-tensorflow-financial-time-series-signal-forecast

Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM

keybaseregistry

On-chain registry of Ethereum addreses <> https://keybase.io identities

laravel-4-memcache

Connect Laravel 4 to Memcache

learn-tensorflow

A documentation and scratchpad of my learning process with tensorflow. Will be revamped as a set of tutorials, reference notes and projects

linear-regression

Implements linear regression example from Machine Learning course by Andrew Ng in Tensorflow.

lstm---stock-prediction

A long term short term memory recurrent neural network to predict stock data time series

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

machine-learning-with-python

Python codes for common Machine Learning Algorithms

mastering-python-for-finance-source-codes

Accompanying source codes for my book 'Mastering Python for Finance'.

materialnavigationdrawer

Navigation Drawer Activity with material design style and simplified methods

metakernel

Jupyter/IPython Kernel Tools

meucci-python

Python Code for Meucci Related Blog Posts

ml

Implementations of classic Machine Learning algorithms

monte-carlo-simulations-pandas-numpy-financial-time-series

multi-factor-models

Here I try to generate and identify all possible factors that are working in Chinese and American Equity Market. After this step, I will built a Market Neutral using these factors. Codes are in Python and should run on 'Ricequant.com'

multifactor-models

A Survey of Multi-Factor Models

multiprocess

better multiprocessing and multithreading in python

ncvx

optoconn

Active causal connectivity inference

oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

pandas-gbq

Pandas Google BigQuery

pandasql

sqldf for pandas