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:
- coding an autograd from scratch☆179Updated 6 years ago
- Drop-in autodiff for NumPy.☆213Updated last week
- Documentation:☆124Updated 2 years ago
- Example python package with pybind11 cpp extension☆57Updated 4 years ago
- ☆85Updated 4 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 3 years ago
- Reverse-mode automatic differentiation in Rust (experiment)☆63Updated 4 years ago
- Small deep learning library written from scratch in Python, using NumPy/CuPy.☆124Updated 3 years ago
- Rudimentary automatic differentiation framework☆75Updated 6 years ago
- Nvidia contributed CUDA tutorial for Numba☆262Updated 3 years ago
- Notebooks for the "Deep Learning with JAX" book☆157Updated 4 months ago
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆180Updated 5 months ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 2 months ago
- Yaae: Yet another autodiff engine (written in Numpy).☆28Updated 2 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 4 years ago
- PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆38Updated 3 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆188Updated 2 weeks ago
- Automatic Differentiation Handbook☆150Updated 5 years ago
- Scalable Probabilistic Programming Library☆21Updated 7 years ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…☆181Updated 4 years ago
- ☆33Updated 4 years ago
- A Python package of computer vision models for the Equinox ecosystem.☆109Updated last year
- A functional training loops library for JAX☆88Updated last year
- A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.☆123Updated last month
- JMP is a Mixed Precision library for JAX.☆209Updated 9 months ago
- Annotating tensor shapes using Python types☆158Updated 2 years ago
- Mathematical operations for JAX pytrees☆201Updated 10 months ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Module 0 - Fundamentals☆109Updated last year