evcu / numpy_autogradLinks
a simple implementation of autograd engine
☆24Updated 7 years ago
Alternatives and similar repositories for numpy_autograd
Users that are interested in numpy_autograd are comparing it to the libraries listed below
Sorting:
- Documentation:☆125Updated 2 years ago
- Some small scale experiments for my blog posts 📝☆80Updated 3 years ago
- Auto Differentiate from scratch based on Autograd☆10Updated 3 years ago
- coding an autograd from scratch☆180Updated 7 years ago
- Functional machine learning for fun☆85Updated 4 years ago
- Drop-in autodiff for NumPy.☆215Updated last month
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 months ago
- A minimal implementation of autograd (in pure Python) 🍰☆96Updated 4 years ago
- A minimalist deep learning library written from scratch in Python☆131Updated last week
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- Example python package with pybind11 cpp extension☆57Updated 5 years ago
- Symbolic API for model creation in PyTorch.☆70Updated 10 months ago
- Reverse-mode automatic differentiation in Rust (experiment)☆63Updated 4 years ago
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆181Updated 8 months ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆45Updated 6 months ago
- Linearly Constrained Separable Optimization☆50Updated 2 years ago
- Yaae: Yet another autodiff engine (written in Numpy).☆28Updated 2 years ago
- A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.☆130Updated last month
- Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…☆181Updated 4 years ago
- PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆38Updated 4 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 4 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆191Updated 2 weeks ago
- ☆85Updated 5 years ago
- Rudimentary automatic differentiation framework☆75Updated 6 years ago
- A Python package of computer vision models for the Equinox ecosystem.☆110Updated last year
- ☆71Updated 2 years ago
- ☆105Updated last week
- JMP is a Mixed Precision library for JAX.☆211Updated last year
- ☆33Updated 5 years ago
- A miniscule implementation of reverse mode auto-differentiation☆29Updated 4 years ago