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Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
Insurance dapp on ethereum blockchain
Numerai Machine Learning Project
A baseline project for the numer.ai ML competition
Machine Learning Hedge Fond
Recurrent Neural Network to classify the sentiments of the IMDb Movie Review.
Common financial risk and performance metrics. Used by zipline and pyfolio.
ffn - a financial function library for Python
Holographic storage for distributed applications -- a validating monotonic DHT "backed" by authoritative hashchains for data provenance (a Ceptr sub-project)
Python implementation of the NEAT neuroevolution algorithm
Example Machine Learning Scripts for Numerai's Tournament
Numerai tournament toolbox written in Python
model for prediction challenge at http://numer.ai
Connect-K AI - term project for CS171 at UC Irvine
Aleth – Ethereum C++ client, tools and libraries
Viewer of Ethereum tokens and transactions based on ERC20 standard.
Code from my experiments on Numerai
The Standard DAO Framework, including Whitepaper
Self-hosted crypto trading bot (automated high frequency market making) in node.js, angular, typescript and c++
The Ethereum Wiki
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
Genetic Algorithm for optimization of trading rules
Node.js native library performing technical analysis over an OHLC dataset with use of genetic algorithm
Genetic Algorithm for Gekko Trading Bot.
The core OCaml system: compilers, runtime system, base libraries
Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.
This is the final MNIST Python code for: Neural Networks: A Visual Introduction For Beginners.