Stars
Solve puzzles. Improve your pytorch.
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
Python library for arbitrary-precision floating-point arithmetic
A central repository to keep track of the status of work on and support for free-threaded CPython (see PEP 703), with a focus on the scientific and ML/AI ecosystem
Shared Middle-Layer for Triton Compilation
Experiment of using Tangent to autodiff triton
Better PyPI interoperability for the conda ecosystem
Collection of scripts to build PyTorch and the domain libraries from source.
Powerful system-level package manager for Linux, macOS and Windows written in Rust – building on top of the Conda ecosystem.
Creates performance portable libraries with embedded source representations.
Numba compatible SCFG (Structured Control Flow Graphs) utilities.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Data science environments, for collaboration. ✨
Open-source scientific and technical publishing system built on Pandoc.
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Development repository for the Triton language and compiler
nanobind: tiny and efficient C++/Python bindings
A Wick theorem kernel written in C++ and interfaced with Python
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Protect your SSH keys with your Mac's Secure Enclave
PyCC is a simple, Python-based, reference implementation of the coupled cluster method of ab initio quantum chemistry.
Submit stacked diffs to GitHub on the command line
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Table analysis in Tkinter using pandas DataFrames.
Periodic table, physical constants, and molecule parsing for quantum chemistry.
A distributed compute and database platform for quantum chemistry.