qunzhi / Deep-Symbolic-NetworksLinks
Working on the model of Deep Symbolic Networks
☆21Updated 8 years ago
Alternatives and similar repositories for Deep-Symbolic-Networks
Users that are interested in Deep-Symbolic-Networks are comparing it to the libraries listed below
Sorting:
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Backpropagation training of neural networks with Hebbian plastic connections☆31Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 7 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆80Updated 7 years ago
- Implementation of Sequential Attend, Infer, Repeat (SQAIR)☆97Updated 6 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 2 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28Updated 6 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- for learning reinforcement learning using PyTorch.☆64Updated 5 years ago
- RNNprop☆36Updated 8 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆31Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago