Luis Cota (lcota)

lcota

Geek Repo

Location:San Francisco

Home Page:http://www.luiscota.com

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Luis Cota's repositories

pythonAlgorithms

Interview Cake Python Algorithms Set

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cesium

Machine Learning Time-Series Platform

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assessing-improving-predict

Source Code for Assessing and Improving Prediction and Classification by Timothy Masters

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data-mining-algorithms-cpp

Source Code for Data Mining Algorithms in C++ by Timothy Masters

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spambayes

SpamBayes spam classifier written in Python

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stat-cookbook

:orange_book: The probability and statistics cookbook

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assessing-and-improving-prediction-and-classification

Source code for 'Assessing and Improving Prediction and Classification' by Timothy Masters

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Diamond

Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.

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aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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read_13f

Read 13f filings and present them in a useful form such as a database.

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aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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automl_service

Deploy AutoML as a service using Flask

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aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

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SubMicroTrading

Ultra Low Latency Trading Framework (OMS, Trading+MarketData Adapters, Algo Container etc)

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rstudio

RStudio is an integrated development environment (IDE) for R

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orange3

:tangerine: Orange 3 data mining suite: http://orange.biolab.si

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nodebox

Node-based data application for visualization and generative design

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fann

Official github repository for Fast Artificial Neural Network Library (FANN)

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backtrader

Python Backtesting library for trading strategies

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qtpylib

QTPyLib, Pythonic Algorithmic Trading

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pysystemtrade

Systematic Trading in python

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Lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#, VB, Java)

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homedir

My home directory dotfiles and customizations

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pyalgotrade

Python Algorithmic Trading Library

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APM_Exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

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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 ;)

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dsbc

data science bootcamp

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ETF-SIM

A Single Index Model shiny app for Australian ETFs

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