luisitobarcito Goto Github PK

conditional-entropy-metric-learning

Code to reproduce experiements from "Information Theoretic Learning Using Infinitely Divisible Kernels"

cudamat

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

diffprogtf

dlcourse_module0

dlcourse_module1

Materials for session 2

dlcourse_module2

lstm

dlcourse_module3

Autoencoders module

gsm_lib

info-theory-for-ml

This is a collection of notebooks with the class sessions on the computer

luisitobarcito.github.io

metric-learning-premovement

mini-dnn

This is a simplified collection of neural network algorithms. This code is mainly for didactic purposes. The code is structured enough to make it easy for the user to play with different parameters and configurations, but simple enough to encourage the user to study the code and understand the inner workings of some of the neural network algorithms.

nnet_matlab

perceptron

matlab demo for perceptron algorithm

protobuf

Protocol Buffers - Google's data interchange format

pywt

PyWavelets - Wavelet Transforms in Python

renyi-groupwise-registration

um_reu_2018

um_reu_2019

Files for the UM REU 2019 bootcamp

vae_matlab