Alternatives and similar repositories for JIIO-DEQ:

Users that are interested in JIIO-DEQ are comparing it to the libraries listed below

• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 4 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• tuananhle7 / aesmc
  Library for Auto-Encoding Sequential Monte Carlo
  ☆18Updated last year
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆45Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆44Updated 2 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆51Updated 3 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 8 months ago
• chenxy99 / Stein-Variational-Gradient-Descent
  SVGD implementation
  ☆10Updated 6 years ago
• singhgautam / snp
  This is the official source code for Sequential Neural Processes.
  ☆40Updated 2 years ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆26Updated 3 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆51Updated 4 years ago
• MichaelArbel / MMD-gradient-flow
  ☆12Updated 8 months ago
• jshe / wasserstein-2
  ☆13Updated 6 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• KingJamesSong / FastDifferentiableMatSqrt
  ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension
  ☆60Updated 4 months ago
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated last year
• activatedgeek / svgd
  PyTorch implementation of Stein Variational Gradient Descent
  ☆43Updated last year
• jonasrothfuss / f-pacoh-torch
  ☆9Updated 3 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• uber-research / vargp
  Variational Auto-Regressive Gaussian Processes for Continual Learning
  ☆21Updated 3 years ago
• team-approx-bayes / kpriors
  Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.
  ☆16Updated 3 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 3 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• thu-ml / fpovi
  Code for "Function Space Particle Optimization for Bayesian Neural Networks"
  ☆17Updated 2 years ago
• vgsatorras / hybrid-inference
  ☆22Updated 5 years ago