arunvenk / DaDLinks
Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. dynamical system) model.
☆34Updated 9 years ago
Alternatives and similar repositories for DaD
Users that are interested in DaD are comparing it to the libraries listed below
Sorting:
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 7 years ago
- ZForcing Repo☆40Updated 7 years ago
- ☆62Updated 8 years ago
- Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"☆14Updated 4 years ago
- ☆152Updated 7 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆41Updated 6 years ago
- Differentiable Neural Computer in TensorFlow☆26Updated 8 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- ☆42Updated 7 years ago
- ☆69Updated 7 years ago
- Ranking Policy Gradient☆23Updated 5 years ago
- Supporting repository for ICLR 2017 paper submission.☆16Updated 8 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Framework of DataLog Neural Program Synthesis☆26Updated 6 years ago
- Comparison of bandit algorithms from the Reinforcement Learning bible.☆17Updated 7 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 7 years ago
- learning to search in pytorch☆110Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Actor Critic using Kronecker-Factored Trust Region☆19Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- PyTorch port and extension of the Deep Bayesian Bandits Library☆42Updated 6 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- ☆80Updated 7 years ago
- Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028☆202Updated 2 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 4 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Updated 7 years ago