Cython
Numba
PyInstaller
nuitka
cx_Freeze
PyPy
py2exe
bbfreeze
Aquarium
Scale Nucleus
PerceptiLabs
ML Image Classifier
Roboflow Universe
Google Cloud TPUs
Prodigy
Stack Roboflow
Cython AquariumBased on our record, Cython seems to be a lot more popular than Aquarium. While we know about 47 links to Cython, we've tracked only 2 mentions of Aquarium. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://cython.org can help with that. - Source: Hacker News / 3 months ago
The approach that I favour is to use Cython. The nice thing with this approach is that your code is still written as (almost) Python, but so long as you define all required types correctly it will automatically create the C extension for you. Early versions of Cython required using Cython specific typing (Python didn't have type hints when Cython was created), but it can now use Python's type hints. Source: about 1 year ago
Just for reference, * Nuitka[0] "is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11." * Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles. * Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... Makes writing C... - Source: Hacker News / about 1 year ago
Profile and optimize the hotspots with cython (or whatever the cool kids are using these days... It's been a while.). Source: about 1 year ago
JIT essentially means generating machine code for the language on the fly, either during loading of the interpreter (method JIT), or by profiling and optimizing hotspots (tracing JIT). The language itself can be statically or dynamically typed. You could also compile a dynamic language ahead of time, for example, cython. Source: about 1 year ago
Aquarium (https://aquariumlearning.com/) | Remote Only (North American Timezones) | Full Time Aquarium is an ML data management system that helps ML teams improve their models by improving their datasets. Aquarium uncovers problems in your dataset, then helps you edit or add data to fix these problems and optimize your model performance. We are looking for our first Product Manager and are also hiring for... - Source: Hacker News / over 2 years ago
#ML is maturing and teams are less concerned about having enough #data, but rather having the right data. ML data management tooling helps improve ML models by improving datasets. Check out our piece below that discusses trends in the space and startups like aquariumlearning.com, Tryunbox.ai, Lightly.ai, Scale, and Labelbox. https://medium.com/memory-leak/ml-data-management-a-primer-a635a5eac858. Source: almost 3 years ago
Numba - Numba gives you the power to speed up your applications with high performance functions written...
Scale Nucleus - The mission control for your ML data
PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...
PerceptiLabs - A tool to build your machine learning model at warp speed.
nuitka - Nuitka is a Python compiler.
ML Image Classifier - Quickly train custom machine learning models in your browser