Alternatives and similar repositories for dot_julia

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

• SchatzLabGT / SymbolicRegression
  ☆11Updated 4 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆38Updated 6 years ago
• wesg52 / sindy_mio_paper
  Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization
  ☆14Updated 3 years ago
• baggiogi / data_driven_control
  ☆42Updated last year
• jiedxu / MatrixOptim.jl
  Data-driven decision making under uncertainty using matrices
  ☆30Updated 7 months ago
• RajDandekar / MSML21_BayesianNODE
  ☆38Updated 3 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆12Updated 2 years ago
• juliusberner / Deep-Multilevel-Kolmogorov-PDE-Solver
  Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation
  ☆12Updated 3 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆12Updated 3 years ago
• kpchamp / MultiscaleDiscovery
  ☆29Updated 7 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• AlexTMallen / dpk
  Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty
  ☆23Updated 3 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago
• hammouc / Multilevel-Monte-Carlo-with-Importance-Sampling-for-SRNs
  This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient …
  ☆11Updated 2 years ago
• SebastianCallh / neural-ode-weather-forecast
  How to train a neural ODE for time series/weather forecasting
  ☆38Updated 2 years ago
• Matrixeigs / EnergyManagementSourceCodes
  energy management codes developed in the past
  ☆18Updated 3 years ago
• gatsby-sahani / gp-sde
  ☆14Updated last year
• baggepinnen / LTVModels.jl
  Tools to estimate Linear Time-Varying models in Julia
  ☆19Updated 2 years ago
• TUHH-DYN / bSTAB
  Open-source software for computing the basin stability of multi-stable dynamical systems
  ☆13Updated last year
• AaltoML / hilbert-gp
  Codes for Hilbert space reduced-rank GP regression
  ☆14Updated 5 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 5 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• kamdh / tvart
  Time-varying Autoregression with Low Rank Tensors
  ☆15Updated 3 years ago
• ngorbach / Variational_Gradient_Matching_for_Dynamical_Systems
  Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
  ☆26Updated 6 years ago
• zhigao2017 / Learning-to-optimize-on-SPD-manifolds
  code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
  ☆13Updated 4 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆22Updated 5 years ago
• nhatpd / iADMM
  iADMM for a low-rank representation optimization problem
  ☆12Updated 4 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆41Updated 2 years ago