robertomagan / cvdocsLinks
Building and compile all your CV documents in one easy and quickly!
☆11Updated 7 years ago
Alternatives and similar repositories for cvdocs
Users that are interested in cvdocs are comparing it to the libraries listed below
Sorting:
- Taller del Máster Profesional de Informática UGR. Curso de CloudComputing.☆10Updated 6 years ago
- Taller SparkR para las Jornadas de Usuarios de R☆12Updated 8 years ago
- Estimating the functional dimensionality of neural representations☆19Updated 3 years ago
- ☆24Updated 9 years ago
- A 2 month Ego-vision Dataset with Autographer Wearable Camera and 2 users☆11Updated 5 years ago
- changepoint detection for Bayesian models☆21Updated 10 years ago
- Repository containing files for my PyCon 2014 scikit-learn tutorial.☆59Updated 11 years ago
- An open platform for science on Amazon Mechanical Turk.☆279Updated last year
- Deep Learning para diagnóstico a partir de imágenes biomédicas, TFG☆11Updated 6 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Cortex - Deep learning tools for neuroimaging☆31Updated 8 years ago
- Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.☆72Updated 2 years ago
- iPython notebook based on tutorial from http://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/☆9Updated 8 years ago
- Repo for GIAN fairness course☆54Updated 8 years ago
- Computational Interaction CHI 2017 course notes☆37Updated 8 years ago
- ☆41Updated 10 years ago
- ☆35Updated 4 years ago
- ☆11Updated 3 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-wo…☆163Updated last year
- A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens☆27Updated 9 years ago
- Code and documentation for the winning solution to the Decoding Brain Signals Cortana challenge☆63Updated 9 years ago
- MLSP 2014 Schizophrenia Classification Challenge: Winning Model Documentation☆19Updated 10 years ago
- simple customizable scoring systems in python☆40Updated last year
- Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.☆30Updated 9 years ago
- Spinal cord gray matter segmentation using deep dilated convolutions.☆45Updated 7 years ago
- introductory material☆18Updated 9 years ago
- A machine learning library focused on deep learning☆11Updated 10 years ago
- Continuous-time Markov model with discrete observations☆11Updated 9 years ago
- A Python convex optimization package using proximal splitting methods☆111Updated last year