bmeatayi

bmeatayi's Stars

• mattgolub/internal_model_estimation

  Codepack accompanying "Internal models for interpreting neural population activity during sensorimotor control," by Matthew D. Golub, Byron M. Yu, and Steven M. Chase, eLife 2015.

  Language:Matlab142

• tntrung/gan

  Tensorflow code of Dist-GAN, GN-GAN and other GAN methods

  Language:Python6621

• LMescheder/GAN_stability

  Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

  Language:Jupyter Notebook917114

• kremerj/gan

  A 1D toy example of optimizing a generative model using the WGAN-GP model.

  Language:Python2311

• openlists/ElectrophysiologyData

  A list of openly available datasets in (mostly human) electrophysiology.

  38767

• wiseodd/generative-models

  Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

  Language:Python7.3k2k

• ratschlab/RGAN

  Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

  Language:Python641182

• tatsy/keras-generative

  Deep generative networks, coded with Keras.

  Language:Python12228

• openai/pixel-cnn

  Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

  Language:Python1.9k436

• ermongroup/Generalized-PixelVAE

  PixelVAE with or without regularization

  Language:Python6611

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23k6.3k

• soumith/ganhacks

  starter from "How to Train a GAN?" at NIPS2016

  11.4k1.7k

• bbalasub1/glmnet_python

  Language:Jupyter Notebook19994

• fossasia/visdom

  A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

  Language:Python10k1.1k

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.5k986

• MouseLand/stringer-pachitariu-et-al-2018b

  Responses of 10,000 neurons to 2,800 natural images

  Language:MATLAB6721

• hindupuravinash/the-gan-zoo

  A list of all named GANs!

  Language:Python14.3k2.5k

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.4k2.8k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.4k4.1k

• igul222/PixelVAE

  Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013

  Language:Python9326

• NeuroTechX/moabb

  Mother of All BCI Benchmarks

  Language:Python686177

• NeuroTechX/eeg-notebooks_v0.1

  Previous version of eeg-notebooks

  Language:Jupyter Notebook18456

• arnefmeyer/lnpy

  Python code for estimation of linear-nonlinear model parameters

  Language:Python227

• NeuroInfoPrimer/primer

  Accompanying code for Aljadeff et al., 'Analysis of Neuronal Spike Trains, Deconstructed', Neuron (2016)

  Language:Matlab102

• timsainb/GAIA

  Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained explicitly on interpolations to promote convexity and better latent interpolations.

  Language:Jupyter Notebook7719

• baccuslab/pyret

  Python tools for analysis of neurophysiology data

  Language:Python368

• baccuslab/deep-retina

  deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with high accuracy.

  Language:Python5017

• jahuth/convis

  Language:Python255

• thu-ml/zhusuan

  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

  Language:Python2.2k418

• datajoint/datajoint-python

  Relational data pipelines for the science lab

  Language:Python16884