borgwang / toys
Toy models, experiments and random notes on machine learning and deep learning.
☆128Updated 7 months ago
Alternatives and similar repositories for toys
Users that are interested in toys are comparing it to the libraries listed below
Sorting:
- 高斯过程回归☆78Updated 2 years ago
- implement bayesian neural networks on tensorflow.☆17Updated 5 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆73Updated 3 years ago
- ☆39Updated 8 years ago
- ☆36Updated 6 years ago
- Deep neural network aided canonical correlation analysis (DNN-CCA) in Tensorflow and Keras☆13Updated 4 years ago
- PyTorch for Neural Process in ICML 2018☆20Updated 5 years ago
- ☆13Updated 6 years ago
- Multi-output Gaussian process regression via multi-task neural network☆15Updated 5 years ago
- Update Code for Modeling Long and Short-Term Temporal Patterns with Deep Neural Networks.(https://arxiv.org/abs/1703.07015)☆32Updated 5 years ago
- Learning Record about TSP☆58Updated 5 years ago
- Graded projects of the course "Probabilistic Artificial Intelligence", ETH Zürich (Fall 2020). Topics: Gaussian Process Regression, Bayes…☆12Updated 3 years ago
- This is the PyTorch implementation of TPA-LSTM☆59Updated 5 years ago
- A pack of reinforcement learning algorithms.☆84Updated 3 years ago
- 阅读LibSVM源码的知识整理与思考（已完结）☆32Updated 2 years ago
- Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)☆105Updated 3 years ago
- Bayesian LSTM for time-series prediction.☆20Updated 4 years ago
- Tennessee Eastman Challenge Problem Archive☆27Updated 7 years ago
- Machine learning competition solutions and tricks | 算法竞赛方案☆56Updated last week
- An adaptive transfer learning algorithm based on Gaussian Process☆12Updated 4 years ago
- ☆76Updated 4 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆73Updated 3 months ago
- ☆40Updated 3 years ago
- Soft Sensor with Variational Inference Technique☆19Updated 7 months ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 7 years ago
- ☆88Updated 2 years ago
- Learning Koopman operator by EDMD with trainable dictionary☆25Updated 2 years ago
- Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics☆19Updated 3 years ago
- An intuitive library to extract features from time series. To cite this software publication: https://www.sciencedirect.com/science/artic…☆101Updated 5 years ago
- Code for the implementation of various methods of Non-Homogeneous Dynamic Bayesian Networks inference☆22Updated last year