aormorningstar / GenerativeNeuralNetsLinks
Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models using python. This code has some specalised features for 2D physics data.
☆12Updated 5 years ago
Alternatives and similar repositories for GenerativeNeuralNets
Users that are interested in GenerativeNeuralNets are comparing it to the libraries listed below
Sorting:
- Minimal PyTorch Library for Natural Evolution Strategies☆18Updated 4 years ago
- Variational Walkback, NIPS'17☆28Updated 8 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 4 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆58Updated 5 years ago
- A2C for GVG-AI☆22Updated 7 years ago
- Variational Reinforcement Learning☆17Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 5 months ago
- ☆11Updated 4 years ago
- ☆45Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Updated 7 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 6 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 7 years ago
- 🤖 Reinforcement Learning paper summaries, notebooks, and articles.☆26Updated 5 years ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆11Updated 3 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 6 years ago
- Deep Boltzmann Machines in R^N dimensions☆11Updated 11 years ago
- Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies☆15Updated 6 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆26Updated 5 years ago
- Variational inference for hierarchical dynamical systems☆50Updated last year
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆50Updated 5 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated last year
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- A simulation environment for the creation and observation of ML models based on PyTorch☆12Updated 6 years ago
- A simple OpenAI Gym environment for Neural Architecture Search (NAS)☆31Updated 5 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 7 years ago