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 2 years ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated last month
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆31Updated 5 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• wangleiphy / MongeAmpereFlow
  Continuous-time gradient flow for generative modeling and variational inference
  ☆31Updated 6 years ago
• IvanYashchuk / jax-firedrake
  Differentiable interface to Firedrake for JAX
  ☆14Updated 4 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated last year
• glouppe / flowing-with-jax
  ☆15Updated 4 years ago
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆23Updated 2 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 2 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• yangliu-op / MINRES-QLP
  ☆13Updated 6 years ago
• lsarra / rmi
  Code to estimate Renormalized Mutual Information in simple settings
  ☆13Updated 4 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆20Updated 5 years ago
• qiyang-ustc / jaxeigs
  Rescure useful code in TensorNetwork by google for further personal usage.
  ☆11Updated 4 months ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆19Updated 10 months ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• n-gao / pytorch-kfac
  Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
  ☆23Updated 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
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆17Updated 4 years ago
• rmnfournier / ACANN
  Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)
  ☆20Updated 5 years ago
• eepperly / XTrace
  Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"
  ☆13Updated 2 years ago
• f-dangel / hbp
  Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
  ☆20Updated 2 years ago
• chaserileyroberts / TensorNetsForML
  Code for the paper "Tensor Networks for Maching Learning"
  ☆17Updated 5 years ago
• gehring / fax
  ☆80Updated 3 years ago
• johannbrehmer / pointers
  Things that make me feel productive
  ☆14Updated 2 years ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆32Updated 4 years ago
• bnuliujing / tn-for-unsup-ml
  ☆24Updated 3 years ago