Python API to Internet Archive Wayback Machine

IBM Services Framework for ML Applications Python 3 framework for building robust, production-ready machine learning applications. Official ML accelerator within the larger RAD-ML methodology.

Python package that interfaces with the Internet Archive's Wayback Machine APIs. Archive pages and retrieve archived pages easily.

Implementation of Cyclic Boosting machine learning algorithms

A suite of tools that users, both novice and advanced can use to optimize machine learning models for deployment and execution. [wheel]

Python library for easily interacting with trained machine learning models

Machine learning library for Python

Emulator for the Oberon RISC machine

Python Runtime for ONNX models, other helpers to convert machine learned models in C++.

Type stubs for Python machine learning libraries

NOVA-Server is a small server designed to create and manage machine learning jobs based on requests.

Disassembler for X86 & AMD64 machine code

Binding for the rdtsc machine instruction

Write Sass in Emacs without a Turing Machine

A collection of chemoinformatics and machine-learning software written in C++ and Python [wheel]

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

Remote desktop server which allows you to connect to your machine remotely

SquirrelJME is a Java ME 8 Virtual Machine for libretro

Tools for running on remote and virtual-machine hosts

Scrapy middleware for submitting URLs to the Internet Archive Wayback Machine

Compute (Target) Permutation Importances of a machine learning model

a machine learning project for mlm task for contextual embedding

Greenviz is a package to support students/ users, who face difficulty in comprehending machine learning and data analytics algorithms. Greenviz uses the python programming constructs to run various learning algorithms. Hence users can understand working of various learning algorithms practically and visually.

a machine learning project for mlm task for contextual embedding

Machine readable FITS specifications for DKIST data.

Machine learning model builder app [wheel]

The pymetamodels package combines machine learning (ML) metamodeling and analysis tools for the virtual development of modeling systems within a common abstract framework implemented in an accessible and distributable Python package. This package is oriented to support ML applications in material science, material informatics and the construction of materials, components and systems soft metamodels informed by hard physics-based modelling and experimental characterisations.

Introducing LeetScrape - a powerful and efficient Python package designed to scrape problem statements and their topic and company tags, difficulty, test cases, hints, and code stubs from LeetCode.com. Easily download and save LeetCode problems to your local machine, making it convenient for offline practice and studying. It is perfect for anyone preparing for coding interviews. With the LeetScrape, you can boost your coding skills and improve your chances of landing your dream job.

Run lambda function in python on local machine.

Py4J enables Python programs running in a Python interpreter to dynamically access Java objects in a Java Virtual Machine. Methods are called as if the Java objects resided in the Python interpreter and Java collections can be accessed through standard Python collection methods. Py4J also enables Java programs to call back Python objects.