ctgk / bayesnetLinks
Bayesian method library for Python
☆33Updated 6 years ago
Alternatives and similar repositories for bayesnet
Users that are interested in bayesnet are comparing it to the libraries listed below
Sorting:
- Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.☆25Updated 5 years ago
- Jupyter Notebooks for Adv. Predictive Modeling Course☆15Updated 8 years ago
- ☆40Updated 7 years ago
- Tensorflow implementation of deep quantile regression☆76Updated 3 years ago
- Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.☆32Updated 7 years ago
- AdaX: Adaptive Gradient Descent with Exponential Long Term Momery☆34Updated 5 years ago
- ☆15Updated 7 years ago
- A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis☆21Updated 7 years ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆41Updated 6 years ago
- A tutorial on JAX (https://github.com/google/jax/)☆47Updated 6 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- ☆34Updated 8 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- ☆30Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 8 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆26Updated 8 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- Variational Recurrent Auto Encoder☆15Updated 9 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆35Updated 8 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- A Structured Self-attentive Sentence Embedding Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshu…☆11Updated 7 years ago
- ☆40Updated 8 years ago
- A PyTorch Implementation of "Quasi-Recurrent Neural Networks"☆46Updated 7 years ago
- Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.☆62Updated 4 years ago
- This is a very efficient Random Forests implementation for MATLAB based on low level "cart" tree implementation.☆14Updated 7 years ago
- Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…☆18Updated 10 months ago