Alternatives and similar repositories for jax-multi-gpu-resnet50-example

Users that are interested in jax-multi-gpu-resnet50-example are comparing it to the libraries listed below

• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 3 years ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated last month
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆18Updated 5 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆30Updated 5 years ago
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆10Updated 3 years ago
• iaifi / summer-school-2022
  ☆16Updated 3 years ago
• chaserileyroberts / TensorNetsForML
  Code for the paper "Tensor Networks for Maching Learning"
  ☆17Updated 5 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆26Updated 2 years ago
• frankschae / A-differentiable-programming-method-for-quantum-control
  ☆31Updated 5 years ago
• qiyang-ustc / jaxeigs
  Rescure useful code in TensorNetwork by google for further personal usage.
  ☆12Updated 10 months ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• buwantaiji / DominantSparseEigenAD
  Reverse-mode AD of dominant sparse eigensolver using Pytorch.
  ☆41Updated 5 years ago
• Zhouquan-Wan / SVD_autodiff
  ☆18Updated 3 years ago
• lsarra / rmi
  Code to estimate Renormalized Mutual Information in simple settings
  ☆13Updated 4 years ago
• wangleiphy / DL4CSRC
  Hitchhiker's Guide to Deep Learning for Computational Scientists
  ☆36Updated 6 years ago
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆24Updated 2 years ago
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated last year
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 5 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 5 years ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆38Updated 5 years ago
• wangleiphy / MongeAmpereFlow
  Continuous-time gradient flow for generative modeling and variational inference
  ☆33Updated 7 years ago
• GiggleLiu / WuLiXueBao
  WuLiXueBao magazine article - automatic differentiation.
  ☆15Updated 3 years ago
• eepperly / XTrace
  Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"
  ☆16Updated 2 years ago
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 3 years ago
• j-towns / fastar
  ☆16Updated 4 months ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆32Updated 5 years ago
• physicsml / physicsml-archive
  PhysicsML Blog
  ☆28Updated 4 years ago
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆28Updated 6 months ago