Alternatives and similar repositories for linear_operator_learning:

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

• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆55Updated 5 months ago
• marineschimel / ilqr_vae
  ☆11Updated 2 years ago
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆54Updated this week
• hanyas / reps
  Implementation of different Relative Entropy Policy Search flavors
  ☆12Updated 3 years ago
• OlivierCodol / MotorNet
  A package to train neural networks to perform various motor tasks
  ☆66Updated 2 months ago
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆92Updated this week
• famura / BellaFigura
  A workflow showing how to combine Inkscape and LaTeX to obtain figures that match your document better
  ☆24Updated 3 years ago
• MushroomRL / mushroom-rl-benchmark
  Benchmarking suite for MushroomRL Deep RL algorithms
  ☆15Updated last year
• hanyas / sds
  A toolbox for inference of switching systems for control
  ☆13Updated 3 years ago
• BerenMillidge / FEP_Active_Inference_Papers
  A repository for major/influential FEP and active inference papers.
  ☆190Updated 3 years ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆805Updated last week
• cvoelcker / reinforcement-learning-material-ws-2018
  This repository collects supplementary material to study reinforcement learning with a focus on topics covered by the TU Darmstadt IAS le…
  ☆12Updated 6 years ago
• sunchipsster1 / ConSpec
  ☆19Updated last year
• bemporad / jax-sysid
  A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax
  ☆31Updated 3 weeks ago
• EU-EMERGE / archetype-computing-adaptive-system
  Archetype Computing / Adapting System for the EMERGE project.
  ☆13Updated last month
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆90Updated last year
• RothkopfLab / lqg
  Inverse optimal control for continuous psychophysics
  ☆27Updated 2 months ago
• spdes / computational-sde-intro-lecture
  Lecture "A computational introduction to stochastic differential equations".
  ☆19Updated 2 years ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆76Updated 3 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆65Updated last year
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆19Updated last year
• akshey-kumar / BunDLe-Net
  Behavioural and Dynamic Learning Network (BunDLe-Net) is an algorithm to learn meaningful coarse-grained representations from time-series…
  ☆13Updated last week
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆48Updated 3 months ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆23Updated last year
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated 9 months ago
• MahanFathi / HJxB
  Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
  ☆14Updated 3 years ago
• pl-robotdecision / tutorials-active-inference
  Free Energy Principle and Active Inference tutorials for newbies
  ☆47Updated 4 years ago
• lasgroup / opax
  ☆18Updated 3 months ago
• cansu97 / PixelAI
  ☆11Updated 4 years ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆57Updated 4 months ago