Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, Postgres, Spark, Python & More...

Natural Language Processing, word2vec, Support Vector Machine, bag-of-words, deep learning

cpyext is PyPy's subsystem which provides a compatibility layer to compile and run CPython C extensions inside PyPy. Often people ask ...

I'm happy to announce the release of Cython 0.29.
In case you didn't hear about Cython before, it's the most widely used statically optimising Python compiler out there.
It translates Python (2/3) cod

Create Siri Shortcuts with Python. Contribute to alexander-akhmetov/python-shortcuts development by creating an account on GitHub.

Concurrent data pipelines in Python >>>. Contribute to cgarciae/pypeln development by creating an account on GitHub.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily! - GeorgeSeif/Semantic-Segmentation-Suite

Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity - PyPortfolio/PyPortfolioOpt

Efficient environment variables management and typing for python - polyaxon/rhea

Build and run layered root filesystems. Contribute to ihucos/plash development by creating an account on GitHub.

For When You Want To Clean All That Garbage. Contribute to Cantasaurus/DirectoryCleaner development by creating an account on GitHub.

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.rea...

An API Client package to access the APIs for NBA.com - swar/nba_api

DEPRECATED - Let's make a SQL parser so we can provide a familiar interface to non-sql datastores! - mozilla/moz-sql-parser

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch...

A simple, flexible, and extensible template for PyTorch. It's beautiful. - cms-flash/beauty-net

This tutorial will help you master Python string splitting. You'll learn to use .split(), .splitlines(), and re.split() to effectively handle whitespace, custom delimiters, and multiline text, which will level up your data parsing skills.