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A resource list for causality in statistics, data science and physics
causal
physics
causality
causation
statistics
data-science
causal-impact
causal-models
meta-learning
causal-networks
causal-discovery
causal-inference
machine-learning
bayesian-inference
causality-analysis
statistical-physics
causality-algorithms
statistical-inference
statistical-mechanics
causal-machine-learning
Created
2018-01-04
242 commits to master branch, last one 5 days ago
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
Created
2018-09-20
10 commits to master branch, last one 10 months ago
Implementation of deep implicit attention in PyTorch
Created
2020-12-26
43 commits to main branch, last one 3 years ago
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
Created
2016-10-06
313 commits to main branch, last one 3 months ago
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
spin-models
spin-glasses
transformers
deep-learning
time-evolution
neural-networks
hopfield-networks
ising-spin-models
mean-field-theory
associative-memory
vector-spin-models
attention-mechanism
partition-functions
statistical-physics
fixed-point-iteration
statistical-mechanics
artificial-intelligence
non-equilibrium-dynamics
near-equilibrium-dynamics
Created
2022-05-20
69 commits to main branch, last one about a year ago