borgwang / toysLinks
Toy models, experiments and random notes on machine learning and deep learning.
☆129Updated last year
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☆85Updated 3 years ago
- A pack of reinforcement learning algorithms.☆84Updated 4 years ago
- BLS Code☆133Updated 7 years ago
- ☆36Updated 7 years ago
- implement bayesian neural networks on tensorflow.☆17Updated 5 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Updated last week
- 🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!…☆414Updated 2 years ago
- ☆526Updated 4 years ago
- ☆24Updated 3 years ago
- 高斯混合模型(GMM 聚类)的 EM 算法实现。☆204Updated 7 years ago
- ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html☆237Updated 2 years ago
- An Intuitive Tutorial to Gaussian Processes Regression☆659Updated last year
- Multi-output Gaussian process regression via multi-task neural network☆14Updated 6 years ago
- Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic …☆47Updated 7 years ago
- Code for the implementation of various methods of Non-Homogeneous Dynamic Bayesian Networks inference☆23Updated 2 years ago
- ☆93Updated 3 years ago
- Tennessee Eastman Challenge Problem Archive☆32Updated 8 years ago
- Monthly-Electricity-forecast use GPR-RFr 某区域月电量预测,采用高斯过程回归、随机森林回归预测日电量,通过日电量累加的方式来获得月电量的预测☆18Updated 6 years ago
- The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training a…☆160Updated 3 years ago
- A light-weight transformer model for Kaggle House Prices Regression Competition☆84Updated 3 years ago
- An adaptive transfer learning algorithm based on Gaussian Process☆12Updated 4 years ago
- Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks☆42Updated 6 years ago
- 《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。☆628Updated 2 months ago
- Collected study materials in Numerical Optimization ANU@MATH3514(HPC)☆370Updated 6 years ago
- Source code for Bayesian Optimization in Action, published by Manning☆105Updated 2 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆99Updated 3 years ago
- Deep neural network aided canonical correlation analysis (DNN-CCA) in Tensorflow and Keras☆14Updated 4 years ago
- matplotlib 绘图可视化知识点☆61Updated 7 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆79Updated 10 months ago
- pytorch >>> 快速搭建自己的模型!☆126Updated 3 years ago