Python library for easily interacting with trained machine learning models

A Python package for computing additional classification metrics for machine learning or AI models. These metrics include and also known as AUC, NRI, and IDI

ONNX Runtime is a runtime accelerator for Machine Learning models [wheel]

A Python wrapper for the Penn Machine Learning Benchmark data repository.

A Python library of data structures optimized for machine learning tasks

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

Github clone. you can install Github system into your unix/linux machine

High-quality Machine Translation Evaluation

Python Power Tools for Scientific Computing, Machine Learning and Deep Learning.

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor

Utilities for manipulating machine code object files

`dslinter` is a pylint plugin for linting data science and machine learning code. We plan to support the following Python libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy and SciPy.

John Snow Labs Spark NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.

Machine Learning algorithms

machine learning core library

This is an SDK for performing Machine Learning with Gradient.

Python Machine Learning library for astronomy

XenServer Virtual Machine Tools

Machine Learning Over Time-Series: A toolkit for time-series analysis [top-max 0.0.7.4]

Explaining Machine Learning Classifiers in Python [wheel]

A machine learning package for streaming data in Python.

Yoga Data Layer, a flexible data layer for machine learning [top-max 0.1.4]

Enable users to improve machine learning models in an active learning fashion via data, label, and model quality.

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research. [wheel]

Generic explainability architecture for text machine learning models

Atari Running on Any Machine, VM running Atari ST/TT/Falcon OS and TOS/GEM apps

Auto machine learning, deep learning library in Python.

Machine Learning Orchestration

Machine Learning Orchestration

TensorFlow is an open source machine learning framework for everyone. [wheel]

A library for exploring and validating machine learning data. [wheel]

Python API for the Crunchdao machine learning tournament

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