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
  ☆115Updated last year
• the-moliver / kfs
  Keras for Science
  ☆72Updated 7 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 8 years ago
• neuroailab / tnn
  Biologically-realistic recurrent convolutional neural networks
  ☆98Updated last year
• anokland / dfa-torch
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆103Updated 7 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 4 years ago
• jn2clark / nn-iterated-projections
  Neural network training using iterated projections.
  ☆90Updated 8 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 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…
  ☆45Updated 10 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• google-deepmind / mnist-cluttered
  Cluttered MNIST Dataset
  ☆53Updated 10 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆90Updated 8 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 8 years ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 6 years ago
• edouardoyallon / scatwave
  ScatWave is a Torch implementation of scattering using CUDA
  ☆21Updated 7 years ago
• ericjang / RNN-dynamics
  Code and report for APMA136 Final Project
  ☆19Updated 10 years ago
• adler-j / minimal_wgan
  A minimal implementation of Wasserstein GAN
  ☆44Updated 7 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆45Updated 7 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆69Updated 8 years ago
• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆133Updated 8 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆103Updated 8 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• koz4k / dni-pytorch
  Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
  ☆239Updated 6 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• ThomasMiconi / LearningToLearnBOHP
  Backpropagation training of neural networks with Hebbian plastic connections
  ☆31Updated 4 years ago
• Kaixhin / malmo-challenge
  Malmo Collaborative AI Challenge - Team Pig Catcher
  ☆65Updated 8 years ago
• wgrathwohl / BackpropThroughTheVoidRL
  RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…
  ☆39Updated 7 years ago
• pierrelux / rlss2017
  ☆17Updated 8 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• donghyunlee / dtp
  ☆36Updated 10 years ago