Alternatives and similar repositories for bristol

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

• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 2 years ago
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 6 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆56Updated 3 months ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated last year
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆47Updated 9 months ago
• lerasc / SDE_DensityTracking
  numerical solution of the Chapman-Kolmogorov equation / Fokker-Planck equation
  ☆9Updated 3 years ago
• random-matrix-learning / slides
  LaTeX source code for the slides
  ☆23Updated 3 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• juliusberner / Deep-Multilevel-Kolmogorov-PDE-Solver
  Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation
  ☆12Updated 3 years ago
• FluxML / YaoFlux.jl
  Differentiable programming on quantum circuits with Flux
  ☆19Updated 5 years ago
• ejmichaud / precision-ml
  ☆13Updated 2 years ago
• josemiotto / pylevy
  Levy distributions for Python
  ☆36Updated last year
• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated last year
• alan-turing-institute / PDSampler.jl
  Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
  ☆33Updated 4 years ago
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆51Updated last month
• TunnelTechnologies / dmrg-exact
  ☆14Updated 6 years ago
• AWehenkel / Graphical-Normalizing-Flows
  Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…
  ☆45Updated last year
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 3 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆17Updated 4 years ago
• juliusberner / oberwolfach_workshop
  Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
  ☆17Updated 2 years ago
• IBM / AI-Hilbert
  AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…
  ☆31Updated 10 months ago
• RSMI-NE / RSMI-NE
  A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
  ☆29Updated 2 months ago
• rmnfournier / ACANN
  Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)
  ☆20Updated 5 years ago
• wangleiphy / DL4CSRC
  Hitchhiker's Guide to Deep Learning for Computational Scientists
  ☆35Updated 6 years ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago