Alternatives and similar repositories for toys

Users that are interested in toys are comparing it to the libraries listed below

• Ulti-Dreisteine / gaussian-process-regression
  高斯过程回归
  ☆82Updated 3 years ago
• liber145 / rlpack
  A pack of reinforcement learning algorithms.
  ☆84Updated 3 years ago
• 2019ChenGong / Machine-Learning-Notes
  ☆519Updated 4 years ago
• Skylark0924 / Machine-Learning-is-ALL-You-Need
  🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!…
  ☆411Updated last year
• luckystarufo / DMD_for_Human_motion
  ☆36Updated 6 years ago
• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆76Updated 4 years ago
• frank0532 / Bayesian_Neural_Networks
  implement bayesian neural networks on tensorflow.
  ☆17Updated 5 years ago
• wrayzheng / gmm-em-clustering
  高斯混合模型（GMM 聚类）的 EM 算法实现。
  ☆200Updated 6 years ago
• jwangjie / Gaussian-Process-Regression-Tutorial
  An Intuitive Tutorial to Gaussian Processes Regression
  ☆627Updated last year
• xinychen / academic-drawing
  Providing codes (including Matlab and Python) for visualizing numerical experiment results.
  ☆217Updated 5 years ago
• morningsky / NTU-ReinforcementLearning-Notes
  国立台湾大学李宏毅老师讲解的深度强化学习学习笔记
  ☆148Updated 5 years ago
• Evergreen0929 / Kaggle_House_Prices_Transformer_Pytorch
  A light-weight transformer model for Kaggle House Prices Regression Competition
  ☆81Updated 3 years ago
• jiangyiqun233 / PRML_learning
  learning fomula
  ☆290Updated 4 years ago
• wmn7 / ML_Practice
  ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
  ☆235Updated 2 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆125Updated 6 years ago
• Alaya-in-Matrix / NeuralLinear
  Multi-output Gaussian process regression via multi-task neural network
  ☆15Updated 5 years ago
• YoungTimes / GNN
  ☆77Updated 4 years ago
• csjiezhao / Physics-Based-Deep-Learning
  ☆25Updated 3 years ago
• camaramm / tennessee-eastman-challenge
  Tennessee Eastman Challenge Problem Archive
  ☆30Updated 7 years ago
• ShiqinHuo / Numerical-Optimization-Books
  Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
  ☆357Updated 6 years ago
• PiperLiu / Reinforcement-Learning-practice-zh
  强化学习-中文笔记&资源-以python实例为主-由浅入深
  ☆105Updated 4 years ago
• ivanalberico / Probabilistic-Artificial-Intelligence-ETH
  Graded projects of the course "Probabilistic Artificial Intelligence", ETH Zürich (Fall 2020). Topics: Gaussian Process Regression, Bayes…
  ☆11Updated 3 years ago
• yang-jinchao / Matplotlib
  matplotlib 绘图可视化知识点
  ☆60Updated 7 years ago
• lx10077 / Lasso
  Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic …
  ☆47Updated 6 years ago
• Xiao-dong-Wang / Transfer-GP
  An adaptive transfer learning algorithm based on Gaussian Process
  ☆12Updated 4 years ago
• Teacher-Guo / RL_code
  RL-code for beginners. Enjoying!
  ☆115Updated 5 years ago
• ElSonidoDelViento / RLCourse
  此项目中将上传我在B站《强化学习理论基础》系列视频中的板书、参考资料等内容。
  ☆78Updated 2 years ago
• qiguming / MLAPP_CN_CODE
  《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。
  ☆611Updated 5 months ago
• P-N-Suganthan / CODES
  Codes for some of my co-authored journal/conference papers
  ☆123Updated last month
• xinychen / tensor-book
  张量计算系列教程 (Tensor Computations Tutorials)
  ☆130Updated last year