A simple Data-Science project which analyzes movie reviews and generates sentiment based on it

Replicates results from Itamar Turner-Trauring, https://pythonspeed.com/articles/slow-numba/

A set of examples on the various ways to compile python code, with benchmarking.

A GraphQL query JIT compiler using LLVM.

To compute the view factors between rectangular surfaces using Monte-Carlo Ray-Tracing mehod

Ultra-fast 2D & 3D Hilbert curve kernels in Python. JIT compiled, branchless, L1-cache-friendly lookup tables, loop unrolling, SIMD, and multi-threading.

Toy Language (Basic Calculator) JIT-compilation via LLVM

CLI and flows for temporary AWS access the JIT way.

A plug-and-play JIT implementation for Marshmallow to speed up data serialization and deserialization

4K HDR cosmic animation generator using mathematical spiral dynamics. JIT-optimized (22x speedup) with Rec. 2020 color gamut support. Create stunning visualizations from dynamical systems.

JAX implementation of "Back to Basics: Let Denoising Generative Models Denoise" a.k.a. Just Image Transformers

just in time compiler

Pure Python re-implementation of the Torch API for fun & learning.

A pure python library reading `glossary` index format.

Pain language

PAM/NSS/sshkey JIT

Sieve of Eratosthenes with compiled Python and CUDA

A collection of power system analysis tools. Optimized for large-scale grid.

⚡ Auto-JIT your Python code with Numba @njit + optional AOT compilation 🚀 Numeric-heavy code, boosted fast 🏎️

Convenient functions not found in Python's Standard Library (regarding benchmarking, iterables, functional tools, operators and numba compilation)