Alternatives and similar repositories for learn-linalg:

Users that are interested in learn-linalg are comparing it to the libraries listed below

• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆58Updated 4 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 6 years ago
• xflash96 / pybind11_package_example
  Example python package with pybind11 cpp extension
  ☆57Updated 4 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• mblondel / teaching
  ☆85Updated 4 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 2 years ago
• osqp / osqpth
  The differentiable OSQP solver layer for PyTorch
  ☆59Updated 2 years ago
• digantamisra98 / Library
  Paper reading list
  ☆16Updated 4 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆66Updated 5 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆99Updated 3 years ago
• slinderman / stats215
  ☆29Updated 4 years ago
• rolandgvc / flaxvision
  A selection of neural network models ported from torchvision for JAX & Flax.
  ☆44Updated 4 years ago
• titu1994 / tf_fourier_features
  Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.
  ☆42Updated 4 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆125Updated 4 years ago
• greydanus / optimize_wing
  We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.
  ☆25Updated 4 years ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆66Updated 4 years ago
• unixpickle / vae-textures
  Texture mapping with variational auto-encoders
  ☆40Updated 3 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 6 months ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆35Updated 3 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• matt-graham / phd-thesis
  Auxiliary variable Markov chain Monte Carlo methods
  ☆10Updated 7 years ago
• chrisorm / pydata-2018
  ☆64Updated 6 years ago
• google / deluca
  Performant, differentiable reinforcement learning
  ☆120Updated 8 months ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• RobertTLange / flexible-learning-group
  A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗
  ☆27Updated 4 years ago
• ghliu / mean-field-fcdnn
  ☆28Updated 5 years ago