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
  ☆75Updated 2 years ago
• Magica-Chen / gptp_multi_output
  multivariate Gaussian process regression and multivariate Student-t process regression
  ☆72Updated 3 years ago
• luckystarufo / DMD_for_Human_motion
  ☆36Updated 6 years ago
• frank0532 / Bayesian_Neural_Networks
  implement bayesian neural networks on tensorflow.
  ☆17Updated 5 years ago
• Alaya-in-Matrix / NeuralLinear
  Multi-output Gaussian process regression via multi-task neural network
  ☆13Updated 5 years ago
• yang-jinchao / Matplotlib
  matplotlib 绘图可视化知识点
  ☆57Updated 6 years ago
• liber145 / rlpack
  A pack of reinforcement learning algorithms.
  ☆82Updated 3 years ago
• Sanyam-Mehta / TPA-LSTM-PyTorch
  This is the PyTorch implementation of TPA-LSTM
  ☆59Updated 5 years ago
• RPcb / ARNN
  ☆38Updated 2 years ago
• jwangjie / Gaussian-Process-Regression-Tutorial
  An Intuitive Tutorial to Gaussian Processes Regression
  ☆575Updated last year
• NicolasDurrande / Gaussian-Process-Regression-handout
  ☆38Updated 8 years ago
• Xiao-dong-Wang / Transfer-GP
  An adaptive transfer learning algorithm based on Gaussian Process
  ☆12Updated 4 years ago
• lxcnju / NeuralProcess
  PyTorch for Neural Process in ICML 2018
  ☆20Updated 5 years ago
• currylym / time-series-prediction-learning-record
  Learning Record about TSP
  ☆59Updated 5 years ago
• charx7 / DynamicBayesianNetworks
  Code for the implementation of various methods of Non-Homogeneous Dynamic Bayesian Networks inference
  ☆21Updated last year
• ElsevierSoftwareX / SOFTX_2020_1
  An intuitive library to extract features from time series. To cite this software publication: https://www.sciencedirect.com/science/artic…
  ☆101Updated 5 years ago
• zhuye88 / iForest
  iForest anomaly detection codes (Matlab Version)
  ☆64Updated 7 years ago
• aaqib-ali / LSTNet_Pytorch
  Update Code for Modeling Long and Short-Term Temporal Patterns with Deep Neural Networks.(https://arxiv.org/abs/1703.07015)
  ☆32Updated 5 years ago
• srp98 / Prediction-using-Bayesian-Neural-Network
  Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectu…
  ☆37Updated 6 years ago
• CSU-IILab / DNN-CCA
  Deep neural network aided canonical correlation analysis (DNN-CCA) in Tensorflow and Keras
  ☆12Updated 3 years ago
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆153Updated 6 years ago
• GlassyWing / ode_rnn
  RNN 拟合微分算子
  ☆14Updated 5 years ago
• DuaneNielsen / DualAttentionSeq2Seq
  Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers
  ☆16Updated 6 years ago
• SunWeiKeS / DA-RNN
  根据Seanny123复现论文A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction的pytorch代码进行相关修改，适应pytorch1.2版本
  ☆32Updated 4 years ago
• MarcoTodescato / Efficient-GP-Regression-via-Kalman-Filtering
  Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…
  ☆38Updated 6 years ago
• 2019ChenGong / Functional-Analysis
  ☆122Updated 4 years ago
• xinychen / academic-drawing
  Providing codes (including Matlab and Python) for visualizing numerical experiment results.
  ☆206Updated 5 years ago
• iqiukp / Gaussian-Process-Regression
  Gaussian Process Regression using GPML toolbox
  ☆34Updated 4 years ago
• JustusvLiebig / Soft_Sensor_Experiments
  ☆87Updated 2 years ago
• KevinHooah / BayesianLSTM-for-Time-series-Prediction
  Bayesian LSTM for time-series prediction.
  ☆21Updated 4 years ago