Alternatives and similar repositories for awesome-research

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

• mlysy / rodeo-legacy
  Probabilistic Solution of Differential Equations
  ☆13Updated 3 years ago
• Romit-Maulik / PAR-RL
  Scaling RLLib for generic simulation environments on Theta
  ☆20Updated 2 years ago
• mitmath / 18338
  ☆100Updated 2 weeks ago
• ml4physicalsciences / ml4physicalsciences.github.io
  Website of the Machine Learning and the Physical Sciences workshop at NeurIPS conference
  ☆20Updated 5 months ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆31Updated 5 years ago
• mazy1998 / Solving-Optimization-Problems-with-JAX
  Solving Optimization Problems with JAX, code and PDF
  ☆16Updated 5 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• Joshuaalbert / jaxnlds
  Inference on non-linear dynamical systems written in JAX
  ☆11Updated 4 years ago
• srush / anynp
  Proof-of-concept of global switching between numpy/jax/pytorch in a library.
  ☆18Updated last year
• ndexter / MLFA
  Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…
  ☆18Updated 4 years ago
• juliusberner / oberwolfach_workshop
  Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
  ☆17Updated 2 years ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆96Updated last year
• Himscipy / bnn_hvd
  Distributed Training of Bayesian Neural Networks at Scale
  ☆11Updated 5 years ago
• google-deepmind / eigengame
  Open source code for EigenGame.
  ☆30Updated 2 years ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆54Updated 4 years ago
• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆33Updated 8 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆40Updated 3 years ago
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆185Updated last year
• nestordemeure / jochastic
  A JAX implementation of stochastic addition.
  ☆14Updated 2 years ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆88Updated last week
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 2 years ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 4 years ago
• elizabethnewman / hessQuik
  Computing gradients and Hessians of feed-forward networks with GPU acceleration
  ☆18Updated last year
• mattjj / ode-diff-notes
  ☆12Updated 4 years ago
• mfinzi / residual-pathway-priors
  ☆20Updated 3 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• f-t-s / CGD
  This repository contains the Julia code for the paper "Competitive Gradient Descent"
  ☆25Updated 5 years ago
• springer-math / adventures-in-graph-theory
  Sage source code for the computation of graphs and proofs from "Adventures in Graph Theory" by David Joyner and Caroline Grant Melles
  ☆14Updated 7 years ago
• mitmath / 18303
  18.303 - Linear PDEs course
  ☆144Updated last year
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆128Updated 9 months ago