Alternatives and similar repositories for awesome-research

Users that are interested in awesome-research are comparing it to the libraries listed below

• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆184Updated last year
• yhtang / FunFact
  Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.
  ☆59Updated 3 years ago
• mlysy / rodeo-legacy
  Probabilistic Solution of Differential Equations
  ☆13Updated 3 years ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆103Updated last year
• Romit-Maulik / PAR-RL
  Scaling RLLib for generic simulation environments on Theta
  ☆20Updated 2 years ago
• mazy1998 / Solving-Optimization-Problems-with-JAX
  Solving Optimization Problems with JAX, code and PDF
  ☆16Updated 5 years ago
• srush / anynp
  Proof-of-concept of global switching between numpy/jax/pytorch in a library.
  ☆18Updated last year
• saforem2 / l2hmc-qcd
  Application of the L2HMC algorithm to simulations in lattice QCD.
  ☆67Updated last year
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Updated 4 years ago
• elizabethnewman / hessQuik
  Computing gradients and Hessians of feed-forward networks with GPU acceleration
  ☆20Updated last year
• mitmath / 18338
  ☆104Updated last week
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆32Updated 5 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆56Updated 2 years ago
• ml4physicalsciences / ml4physicalsciences.github.io
  Website of the Machine Learning and the Physical Sciences workshop at NeurIPS conference
  ☆20Updated last week
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 4 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆88Updated 3 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆104Updated 5 years ago
• elizqian / operator-inference
  ☆10Updated 2 years ago
• pilancilab / convex_nn
  ☆16Updated 4 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆40Updated 2 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆42Updated 5 years ago
• ndexter / MLFA
  Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…
  ☆18Updated 5 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆37Updated 3 years ago
• boazbk / mltheoryseminar
  ☆21Updated last week
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 3 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆42Updated 3 years ago
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated 2 years ago