A work in progress to build out solutions in Rust for MLOPs
Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80
No-GIL Python environment featuring NVIDIA Deep Learning libraries.
Go-like features for Python and Cython. (mirror of https://lab.nexedi.com/kirr/pygolang)
Cython based high performance alternative to Python (re) module for doing basic pattern matching on large data-set..
가천대학교 자동 수강신청 프로그램 on Node.JS
🚀 Collection of benchmarks to measure images loading times across different C/C++ imaging libraries.
Adaptive thread pool for GIL-aware concurrency control in Python
SVN to Git import of gil-contributions repository. Imported on 2019-01-18
In-Depth Analysis and Comparison of Parallelism Techniques in Python & Go
Typed Python that compiles to C++ and runs on real OS threads. Same jobs/pools/sync feel as normal Python, without the GIL or multiprocessing overhead. Optional Vulkan @gpu kernels via pip install cthreads-gpu
Thread-first true parallelism for Python
Food-101 benchmark comparing PyTorch DataLoader with minimal-dataset-pytorch across worker counts, image sizes and batch sizes.
GIL tracer - monitor and analyze GIL usage with eBPF
Python 3.14 free-threading patterns (PEP 703): thread-safe primitives, race condition prevention, migration guide
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