Alternatives and similar repositories for pytorch-sublstm:

Users that are interested in pytorch-sublstm are comparing it to the libraries listed below

• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆114Updated last year
• neuroailab / tnn
  Biologically-realistic recurrent convolutional neural networks
  ☆98Updated last year
• the-moliver / kfs
  Keras for Science
  ☆72Updated 6 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆44Updated 10 years ago
• edouardoyallon / scatwave
  ScatWave is a Torch implementation of scattering using CUDA
  ☆21Updated 7 years ago
• donghyunlee / dtp
  ☆36Updated 10 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 7 years ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆35Updated 6 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• clementfarabet / lua---mattorch
  An interface between Torch and Matlab
  ☆30Updated 9 years ago
• libilab / PCN-with-Global-Recurrent-Processing
  Code for "Deep predictive coding network for object recognition"
  ☆25Updated 5 years ago
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 6 years ago
• baccuslab / inferring-hidden-structure-retinal-circuits
  Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`
  ☆14Updated 3 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆44Updated 7 years ago
• pierrelux / rlss2017
  ☆17Updated 7 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 years ago
• google-deepmind / mnist-cluttered
  Cluttered MNIST Dataset
  ☆51Updated 10 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 7 years ago
• ganguli-lab / RetinalResources
  Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019
  ☆48Updated 6 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year
• Wizaron / binary-stochastic-neurons
  Binary Stochastic Neurons in PyTorch
  ☆57Updated 7 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆66Updated 7 years ago
• edouardoyallon / scalingscattering
  ☆81Updated 7 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• ericjang / RNN-dynamics
  Code and report for APMA136 Final Project
  ☆19Updated 10 years ago
• petered / pdnn
  Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes
  ☆16Updated 7 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago