hveiras

0-Intro-proyectos

Introducción a los proyectos del curso (CV, NLP, VUI)

1-Regresi-n-Lineal-SGD

Notebooks de regresión lineal y stochastic gradient descent

10-Autoencoders

11-Word-Embeddings-1

12-RNN

2-Logistic-Regression

3-Pesos-y-Alturas-Bayes

4-Regularizacion

Clase 19/10, regularizacion y seleccion de parametros

5-Multi-Layer-Perceptron

6-MLP-multiclass

7-Preprocesamiento

8-CNN

9-YOLO-intro

binance-api-node

:chart: A complete and heavily tested wrapper with typings for the Binance API.

bitfinex-api-node

BITFINEX NodeJS trading API - Bitcoin, Litecoin, and Ether exchange

cifar10-test

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

docker-yalc

entorno-de-trabajo

Definicion del entorno de trabajo (Scipy Ecosystem, Anaconda, Python)

examples

Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.

ExchangeSharp

ExchangeSharp is a powerful, fast and easy to use .NET/C# API for interfacing with many crypto currency exchanges. REST and web sockets are supported.

Intro-Probabilidad

Introducción a las nociones de Probabilidad Condicional y el Teorema de Bayes a través de dos aplicaciones: Localización y Naive Bayes

Lean

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

ml-itba-tp-final

node-static-i18n

HTML static pages i18n tool

Object-Localization

practica1

Proyecto-Final

restonode

Restaurant demo example using sequelize with postgres

zenbot

Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.