Alternatives and similar repositories for numpy_autograd

Users that are interested in numpy_autograd are comparing it to the libraries listed below

• joelgrus / autograd
  coding an autograd from scratch
  ☆177Updated 6 years ago
• rsokl / MyGrad
  Drop-in autodiff for NumPy.
  ☆211Updated 6 months ago
• SymJAX / SymJAX
  Documentation:
  ☆120Updated 2 years ago
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 2 years ago
• titaneric / AutoDiff-from-scratch
  Auto Differentiate from scratch based on Autograd
  ☆10Updated 3 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• che-shr-cat / Deep_Learning_with_JAX
  Notebooks for the "Deep Learning with JAX" book
  ☆151Updated last month
• mblondel / teaching
  ☆85Updated 4 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 4 years ago
• bgavran / autodiff
  Rudimentary automatic differentiation framework
  ☆74Updated 6 years ago
• Rufflewind / revad
  Reverse-mode automatic differentiation in Rust (experiment)
  ☆63Updated 4 years ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆107Updated 11 months ago
• mcleonard / xaby
  Functional machine learning for fun
  ☆85Updated 4 years ago
• rolandgvc / flaxvision
  A selection of neural network models ported from torchvision for JAX & Flax.
  ☆44Updated 4 years ago
• minitorch / Module-0
  Module 0 - Fundamentals
  ☆104Updated 10 months ago
• xflash96 / pybind11_package_example
  Example python package with pybind11 cpp extension
  ☆57Updated 4 years ago
• blackrock / lcso
  Linearly Constrained Separable Optimization
  ☆48Updated last year
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆198Updated 7 months ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 4 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• sjmikler / pytorch-symbolic
  Symbolic API for model creation in PyTorch.
  ☆66Updated 4 months ago
• google / jaxonnxruntime
  A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.
  ☆115Updated 3 weeks ago
• awf / functional-transformer
  A pure-functional implementation of a machine learning transformer model in Python/JAX
  ☆179Updated 2 months ago
• srush / torch-queue
  ☆68Updated last year
• sradc / SmallPebble
  Small deep learning library written from scratch in Python, using NumPy/CuPy.
  ☆124Updated 2 years ago
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated 9 months ago
• Nico-Curti / NumPyNet
  Neural Networks library in pure numpy
  ☆70Updated last year
• dfm / extending-jax
  Extending JAX with custom C++ and CUDA code
  ☆398Updated 11 months ago
• 3outeille / Yaae
  Yaae: Yet another autodiff engine (written in Numpy).
  ☆27Updated 2 years ago
• arogozhnikov / readable_capsnet
  Blazingly fast capsule networks in 75 lines of pytorch+einops
  ☆26Updated 3 years ago