kaiu85 / hm-rnn
PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks
☆15Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for hm-rnn
- State-Regularized Recurrent Neural Networks☆11Updated 5 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 7 years ago
- A PyTorch implement of Dilated RNN☆12Updated 6 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆21Updated 5 years ago
- Analogs of Linguistic Structure in Deep Representations☆19Updated 7 years ago
- Predictive State Recurrent Neural Networks☆18Updated 4 years ago
- ☆11Updated 8 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes☆16Updated 7 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated last year
- This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…☆51Updated 6 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆49Updated 6 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- Gated Orthogonal Recurrent Unit implementation in tensorflow☆35Updated 5 years ago
- ☆17Updated 6 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 7 years ago
- ZForcing Repo☆40Updated 7 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 5 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆24Updated 4 years ago
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 6 years ago
- Code for the Santa algorithm for deep learning☆17Updated 6 years ago
- Pytorch Implementation of Deepmind's 'Hybrid computing using a neural network with dynamic external memory' (Differentiable Neural Comput…☆19Updated 6 years ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆40Updated last year
- Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"☆14Updated 4 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆54Updated 8 years ago