Stars
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
A Hyperparameter Tuning Library for Keras
3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793
Analogue of the scale-invariant feature transform (SIFT) for three-dimensional images. Includes an image processing and linear algebra library with feature matching and RANSAC regression. Also incl…
A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
Plain python implementations of basic machine learning algorithms
Tasks, boards & notes for the command-line habitat
MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-S…
Simple tutorials using Google's TensorFlow Framework
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.
rdpeng / courses
Forked from DataScienceSpecialization/coursesCourse materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Demonstration of recurrent neural network implemented with Theano
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Deep Learning Tutorial notes and code. See the wiki for more info.
Matlab implementation of Implicit mixtures of Conditional Restricted Boltzmann Machines.
This package provides an efficient implementation of locality-sensitve hashing (LSH)