Alternatives and similar repositories for pyrotor:

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

• mperezortiz / PBB
  PAC-Bayes with Backprop - Tighter risk certificates for neural networks
  ☆24Updated 3 years ago
• boschresearch / PAC_GP
  Implementation of the PAC Bayesian GP learning method.
  ☆10Updated 6 years ago
• moskomule / hypergrad
  Simple and extensible hypergradient for PyTorch
  ☆16Updated 2 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 9 months ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated last year
• uber-research / vargp
  Variational Auto-Regressive Gaussian Processes for Continual Learning
  ☆21Updated 3 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated last year
• cambridge-mlg / expressiveness-approx-bnns
  Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"
  ☆13Updated 3 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• choidami / sst
  ☆49Updated 4 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 9 months ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 6 years ago
• tristandeleu / jax-comln
  Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
  ☆26Updated 3 years ago
• hegdepashupati / differential-dgp
  Implementation of stochastic variational inference for differentially deep gaussian processes
  ☆15Updated 6 years ago
• AlCorreia / GeFs
  Generative Forests in Python
  ☆36Updated last year
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• pmorenoz / RecyclableGP
  Recyclable Gaussian Processes
  ☆11Updated 2 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆19Updated 3 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 4 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated last year
• lzzcd001 / ade-code
  Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
  ☆13Updated 5 years ago
• jshe / wasserstein-2
  ☆13Updated 6 years ago
• PGM-Lab / PAC2BAYES
  This repository contains the Python code to reproduce all the figures and experiments presented in the paper: Masegosa, Andrés. R., Learn…
  ☆9Updated 2 years ago