lee813 / pydpmmLinks
Direct Gibbs sampling for DPMM using python.
☆16Updated 8 years ago
Alternatives and similar repositories for pydpmm
Users that are interested in pydpmm are comparing it to the libraries listed below
Sorting:
- ☆58Updated 3 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.☆15Updated 6 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 11 years ago
- Modeling the asynchronous event sequence via Recurrent Point Process☆60Updated 7 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 6 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- ☆40Updated 6 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 7 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆129Updated 2 years ago
- Recurrent Marked Temporal Point Processes☆56Updated 3 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆44Updated 4 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- ☆43Updated 6 years ago
- Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization☆21Updated 8 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆12Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆30Updated 5 years ago
- A toolbox of Hawkes processes☆114Updated 7 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆61Updated 5 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- ☆87Updated 5 years ago
- A Recurrent Latent Variable Model for Sequential Data☆27Updated 7 years ago
- Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019☆20Updated 3 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018☆79Updated 6 years ago
- A Point Process Toolbox Based on PyTorch☆132Updated 4 years ago