Alternatives and similar repositories for timeseries_dlm_lstm

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

• mjlaine / dlm
  Matlab toolbox for dynamic linear models
  ☆13Updated 4 years ago
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 6 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 6 years ago
• ProcessMiner / nlcor
  An implementation of an efficient heuristic to compute the nonlinear correlations between numeric vectors. The heuristic works by adaptiv…
  ☆19Updated 3 years ago
• 0xshipthecode / ndw-climate
  ☆15Updated 11 years ago
• hanase / BMA
  R package for Bayesian model averaging
  ☆40Updated 8 months ago
• paezha / Spatial-Statistics-Course
  Repository includes resources used in GEOG 4GA3 Applied Spatial Statistics
  ☆22Updated 4 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 4 years ago
• jaidevd / scipy_pandas_tutorial
  Repository containing notebooks for my Pandas tutorial at SciPy India 2013
  ☆15Updated 5 years ago
• SMAC-Group / wv
  This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among ot…
  ☆17Updated 2 years ago
• PacktPublishing / R-Deep-Learning-Cookbook
  R Deep Learning Cookbook, published by Packt
  ☆30Updated 2 weeks ago
• ljwolf / bayespatial
  spatial statistical/econometric modeling in pymc3 & stan
  ☆26Updated 4 years ago
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆25Updated 5 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• eafpres / time_series_analysis
  Review of time series using regression and neural network methods
  ☆33Updated 6 years ago
• UCIDataScienceInitiative / AdvPredictiveModeling_withPython
  Jupyter Notebooks for Adv. Predictive Modeling Course
  ☆15Updated 8 years ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 5 years ago
• USCbiostats / fmcmc
  A friendly MCMC framework
  ☆16Updated 3 months ago
• jessecambon / Data-Science-Sandbox
  Code and resources to serve as a starting point for data science projects.
  ☆22Updated 3 years ago
• IronistM / Modern-Optimization-with-R
  code from the s/t book which goal is to gather in a single document the most relevant concepts related to modern optimization methods or …
  ☆25Updated 10 years ago
• RamiKrispin / USgrid
  The hourly demand and supply of electricity in the US
  ☆25Updated 4 years ago
• florianhartig / LearningBayes
  An introduction to Bayesian statistics
  ☆75Updated last year
• sieste / Stan_cheatsheet
  cheat sheet for common Stan and RStan commands
  ☆16Updated 7 years ago
• tgouhier / biwavelet
  R package to conduct univariate and bivariate wavelet analyses
  ☆47Updated last year
• resampling-stats / resampling-with
  Source repository for third edition of "Resampling: The New Statistics"
  ☆14Updated 5 months ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• esdalmaijer / cluster_power
  Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…
  ☆13Updated 5 years ago
• hagijyun / Time_Series_Analysis_4SSM_R_Stan
  Time Series Analysis for the State-Space Model with R/Stan
  ☆24Updated 3 years ago
• tirthajyoti / R-stats-machine-learning
  Misc Statistics and Machine Learning codes in R
  ☆43Updated 4 years ago