dgasmith / opt_einsumLinks
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
☆946Updated 4 months ago
Alternatives and similar repositories for opt_einsum
Users that are interested in opt_einsum are comparing it to the libraries listed below
Sorting:
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,135Updated this week
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆496Updated last week
- Extending JAX with custom C++ and CUDA code☆401Updated last year
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Updated 2 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆999Updated 2 weeks ago
- ☆885Updated last month
- Constrained optimization toolkit for PyTorch☆699Updated 2 months ago
- Optax is a gradient processing and optimization library for JAX.☆2,044Updated last week
- PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code☆697Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆594Updated 9 months ago
- Sparse multi-dimensional arrays for the PyData ecosystem☆645Updated this week
- A pedagogical implementation of Autograd☆997Updated 5 years ago
- Python 3.8+ toolbox for submitting jobs to Slurm☆1,529Updated 2 weeks ago
- A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python☆332Updated last year
- Tensor Network Learning with PyTorch☆301Updated last year
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,579Updated 2 weeks ago
- Profiling and inspecting memory in pytorch☆1,073Updated last month
- CLU lets you write beautiful training loops in JAX.☆356Updated 3 months ago
- OpTree: Optimized PyTree Utilities☆196Updated this week
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆860Updated 4 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆293Updated last week
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆208Updated 2 months ago
- NumPy and SciPy on Multi-Node Multi-GPU systems☆935Updated this week
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆662Updated this week
- Turn SymPy expressions into trainable JAX expressions.☆351Updated 6 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆481Updated last month
- Compositional Linear Algebra☆489Updated 2 months ago
- A High Level API for Deep Learning in JAX☆475Updated 2 years ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,449Updated 5 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆476Updated last week