manuelmolano Goto Github PK

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cv-learning

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

fof

gcamp-sims

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

gym-priors

priors task

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

ijd_poisson

improved_wgan_training

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

meta-rl

Implementation of Meta-RL A3C algorithm

metatoolbox

ml-crash-course

models

Models and examples built with TensorFlow

ngym_priors

Tasks for priors project

ngym_shaping

priors_project

pyrl

search_iclr_2018

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

trello-json-parser

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

virtual_reality

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