manuelmolano

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

CV-Learning

DCGAN-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

GCaMP-sims

Simulations of fluoresence recorded using different scanning approaches from a population of neurons expressing the GCaMP6 calcium indicator.

IJD

Matlab implementation of the Information Jitter Derivative (IJD) method, which allows to decompose the information encoded in the temporal structure of a spike train into the unique, complementary information contained in its different temporal scale components

metaToolBox

Spike-GAN

Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a given traing dataset.

structural_priors_paper

virtual_reality

Blender code for a virtual reality environment implementing a basic Two-Alternative Forced Choice task.

manuelmolano/Spike-GAN

Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a given traing dataset.

manuelmolano/structural_priors_paper

manuelmolano/IJD

Matlab implementation of the Information Jitter Derivative (IJD) method, which allows to decompose the information encoded in the temporal structure of a spike train into the unique, complementary information contained in its different temporal scale components

manuelmolano/metaToolBox

manuelmolano/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

manuelmolano/CV-Learning

manuelmolano/DCGAN-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

manuelmolano/GCaMP-sims

Simulations of fluoresence recorded using different scanning approaches from a population of neurons expressing the GCaMP6 calcium indicator.

manuelmolano/virtual_reality

Blender code for a virtual reality environment implementing a basic Two-Alternative Forced Choice task.

manuelmolano/DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

manuelmolano/fof

manuelmolano/gym-priors

priors task

manuelmolano/IJD_poisson

manuelmolano/improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

manuelmolano/Meta-RL

Implementation of Meta-RL A3C algorithm

manuelmolano/ML-crash-course

manuelmolano/models

Models and examples built with TensorFlow

manuelmolano/ngym_priors

Tasks for priors project

manuelmolano/ngym_shaping

manuelmolano/priors_project

manuelmolano/pyrl

manuelmolano/search_iclr_2018

manuelmolano/trello-json-parser

Transform your exported json trello data into a human readable format!