Alternatives and similar repositories for meta-inference-public:

Users that are interested in meta-inference-public are comparing it to the libraries listed below

• StanfordASL / moca
  ☆31Updated 2 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆20Updated 4 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
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• dmadras / local-ensembles
  "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour
  ☆13Updated 4 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 5 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• bpucla / latent-space-EBM-prior
  ☆35Updated 4 years ago
• hankook / CLEL
  ☆15Updated last year
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆27Updated 6 months ago
• huaxiuyao / HSML_Dynamic
  HSML Dynamic version for ICML 2019
  ☆12Updated 5 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• vuoristo / MMAML-rl
  ☆14Updated 5 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated 6 months ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• mingzhang-yin / Meta-learning-without-memorization
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆21Updated last year
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆42Updated 3 years ago
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆27Updated 4 years ago
• a7b23 / H-Divergence
  ☆21Updated 2 years ago
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆13Updated 3 years ago
• GuyLor / Direct-VAE
  Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"
  ☆14Updated 4 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 6 months ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆27Updated 3 years ago
• yuxi120407 / DIB
  Codes for 'Deep Deterministic Information Bottleneck with Matrix-based entropy functional' in ICASSP 2021
  ☆13Updated 2 years ago
• vsimkus / torch-reparametrised-mixture-distribution
  PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
  ☆19Updated last year