Quantco / ndonnxLinks
ONNX-backed array library that is compliant with the Array API standard.
☆66Updated this week
Alternatives and similar repositories for ndonnx
Users that are interested in ndonnx are comparing it to the libraries listed below
Sorting:
- Pythonic framework for building ONNX graphs☆92Updated last week
- Compatibility layer for common array libraries to support the Array API☆109Updated last week
- ☆55Updated last year
- Test suite for Python array API standard compliance☆70Updated last month
- A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.☆127Updated 3 weeks ago
- A stand-alone implementation of several NumPy dtype extensions used in machine learning.☆323Updated this week
- POC work on MLIR backend☆61Updated last year
- RFC document, tooling and other content related to the array API standard☆262Updated this week
- Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics☆149Updated 3 weeks ago
- Python bindings for the egglog rust library☆94Updated this week
- Custom Bindings for Enzyme Automatic Differentiation Tool and Interfacing with JAX.☆107Updated this week
- Creates performance portable libraries with embedded source representations.☆26Updated last year
- The CUDA target for Numba☆239Updated this week
- Special function implementations☆24Updated 3 weeks ago
- No-GIL Python environment featuring NVIDIA Deep Learning libraries.☆69Updated 8 months ago
- Subsumed into xnd☆81Updated 2 years ago
- Einsum optimization using opt_einsum and PyTorch FX graph rewriting☆22Updated 3 years ago
- Functional algorithms - definitions and implementations☆13Updated 2 months ago
- An Aspiring Drop-In Replacement for Pandas at Scale☆74Updated 4 years ago
- Extra array functions built on top of the array API standard.☆22Updated this week
- Use numba-compiled kernels from within Jax☆31Updated 8 months ago
- A functional training loops library for JAX☆88Updated last year
- lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.☆20Updated last year
- The Foundation for All Legate Libraries☆233Updated 2 weeks ago
- Parallel NumPy seamlessly speeds up NumPy for large arrays (64K+ elements) with no change required to existing code.☆63Updated 4 years ago
- Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.☆55Updated last week
- ☆20Updated 2 years ago
- Strict implementation of the Python array API (previously numpy.array_api)☆28Updated last week
- Data Parallel Extension for Numba☆88Updated 3 months ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago