Alternatives and similar repositories for causal-adaptation-speed:

Users that are interested in causal-adaptation-speed are comparing it to the libraries listed below

• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆13Updated 6 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆16Updated 3 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated 2 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆30Updated 3 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆17Updated 4 years ago
• zecevic-matej / Not-All-Causal-Inference-is-the-Same
  Official code repository to the corresponding paper.
  ☆28Updated last year
• random-matrix-learning / slides
  LaTeX source code for the slides
  ☆23Updated 3 years ago
• cambridge-mlg / expressiveness-approx-bnns
  Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"
  ☆13Updated 3 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆29Updated 3 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• uber-research / vargp
  Variational Auto-Regressive Gaussian Processes for Continual Learning
  ☆20Updated 3 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 2 years ago
• thudzj / ELLA
  Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
  ☆16Updated 2 years ago
• tristandeleu / jax-comln
  Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
  ☆27Updated 2 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 2 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 6 months ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 3 years ago
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆81Updated 8 months ago
• team-approx-bayes / kpriors
  Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.
  ☆16Updated 3 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆48Updated 5 years ago
• lzzcd001 / ade-code
  Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
  ☆13Updated 5 years ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆24Updated 3 years ago
• google-deepmind / ssl_hsic
  ☆37Updated 6 months ago
• gcucurull / maml_flax
  Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.
  ☆19Updated 4 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• thu-ml / fpovi
  Code for "Function Space Particle Optimization for Bayesian Neural Networks"
  ☆17Updated 2 years ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago