jforjohn

canopyKmeans_improved

This is an implementation of the paper on "Improved K-means algorithm based on density Canopy".

cn2_rulebased_classifier

This is a project for implementing and evaluating CN2 rule based classifier.

smonnet

Smonnet is a Python program which works in multiprocessing and multithreaded mode to consume messages from Kafka and send them in many Elasticsearch cluster

AMLT-learn

Python code for the AMLT course (Master in Artificial Intelligence, UPC)

cbr_cocktails

A case based reasoning project for recommending a cocktail to a user through an interface given some preferences.

cern_projects

CI

Contains all work related with the subject Computational Intelligence from my Master Degree in Artificial Intelligence

cnn-caltech101

This is a project about exploring Convolutional Neural Networks in an object classification use case using Caltech101 data set.

dbod-api

DB On Demand API

django-proj

docker-kube-elasticsearch

These are the files for an Elasticsearch docker image which can be deployed in Kubernetes with *dbod-api*

docker-kube-kibana

These are the files for a Kibana docker image which can be deployed in Kubernetes with *dbod-api*

drug_embeddings

The corpus is from the SemEval-2013 Task 9 and here we want to try different embeddings for identifying drugs (NER use case).

fastapi_icm_template

This is a template for a fastapi app to serve a model (Intent Classidication Model - ICM)

ibl_algorithms

Lazy Learning project applying different methods on Instance-Based learning and K-Nearest Neighbor algorithms.

IMAS

Contains all work related with the subject of Introduction to Multiagent Systems from my Master Degree in Artificial Intelligence

metavlito_training

This the training component of METavlitó project using the bucketing technique.

mones

nlp_sts

This is a project for building a Semantic Textual Similarity (STS) model from the Task 6 of SemEval 2012

OR

Contains all work related with the subject Object Recognition from my Master Degree in Artificial Intelligence

PAR

Contains the Planning project of the subject Planning and Approximate Reasoning from my Master Degree in Artificial Intelligence

pca_algorithm

This is a project is about implementing our custom PCA algorithm for the Master's degree of Artificial Intelligence (MAI) at UPC.

pgpool2-container

procapi

random_forest_clf

This is an implementation of a Random Forest classifier.

sp500-forecast-lstm

Explore RNN-type networks for predicting time series sequence for the use case of S&P 500 stock data.

svm_kernels

This is a project where we try and compare different models using SVM kernels.

tensorflow_exercises

Exercises mostly based on MNIST dataset, with different models experimenting on the effect of different optimizers, learning rates, architectures, batch sampling methods and number of GPUs used.

titanic_survival

This is a project we will analyze and predict what sorts of passengers were likely to survive the tragedy.

vision

Datasets, Transforms and Models specific to Computer Vision