Optimization Libraries

45 Components & Libraries

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Optimization Libraries

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

To install the current release: Participating discussions via the following IM groups is also welcomed. Over the past few years, NNI has received thousands of feedbacks on GitHub issues, and pull req…

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get…

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Get started with W&B in four steps: That's it! Navigate to the W&B App to view a dashboard of your first W&B Experiment. Use the W&B App to compare multiple experiments in a unified…

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Flexible integration for any Python script: Build …

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

This repo is public facing and exists for the sole purpose of providing users with an easy way to raise bugs, feature requests, and other issues. MlFinlab python library is a perfect toolbox that eve…

Visual Python and C++ nanosecond profiler, logger, tests enabler

Palanteer is a set of lean and efficient tools to improve the quality of software, for C++ and Python programs. Simple code instrumentation, mostly automatic in Python, delivers powerful features: Pa…

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Install PyGAD with the following command: The source code of the PyGAD' modules is found in the following GitHub projects: The next code implements all the callback functions to trace the execution o…

[UNMAINTAINED] Automated machine learning for analytics & production

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

Open Source Pricing & Packaging Infrastructure

Lotus is a pricing and billing engine that enables SaaS companies to deploy, monitor, and experiment with custom subscriptions and complex models like usage-based pricing. Lotus provides a flexible a…

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

We believe mastery of a certain machine learning concept/topic is achieved only when the answer to each of the following three questions is affirmative. Example ”roadmaps” shown below provide suggest…

MLBox is a powerful Automated Machine Learning python library.

MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone.

SU2: An Open-Source Suite for Multiphysics Simulation and Design

Computational analysis tools have revolutionized the way we design engineering systems, but most established codes are proprietary, unavailable, or prohibitively expensive for many users. The SU2 tea…

advertools - online marketing productivity and analysis tools

You might be doing basic stuff, like copying and pasting text on spread sheets, you might be running large scale automated platforms with sophisticated algorithms, or somewhere in between. In any cas…

Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.

Cryptocurrency trading bot that allows users to create strategies and then backtest, optimize, simulate, or run live bots using them. Telegram integration has been added to support easier and remote …

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Test tube is a python library to track and parallelize hyperparameter search for Deep Learning and ML experiments. It's framework agnostic and built on top of the python argparse API for ease of use.…

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Automatically save and learn from Experiment results, leading to long-term, persistent optimization that remembers all your tests. HyperparameterHunter provides a wrapper for machine learning algorit…

Collective Mind (CM) is a collection of portable and extensible automation recipes with a unified and human-friendly interface and minimal dependencies to make it easier to compose, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data sets, software and hardware (cloud/edge)

For example, you should be able to run the MLPerf inference benchmark on Linux, Windows and MacOS using a few CM commands: You can also run the same commands using a unified CM Python API:

A Free and Open Source Python Library for Multiobjective Optimization

For example, optimizing a simple biobjective problem with a single real-valued decision variables is accomplished in Platypus with: To install the latest Platypus release, run the following command: …

📷 RAW image processing for Python, a wrapper for libraw

Save as 16-bit linear image: Extract embedded thumbnail/preview image and save as JPEG: Find bad pixels using multiple RAW files and repair them: Install rawpy by running: 64-bit binary wheels are pr…

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.readthedocs.io/en/latest/index.html

apricot implements submodular optimization for the purpose of summarizing massive data sets into minimally redundant subsets that are still representative of the original data. These subsets are usef…

django CMS blog application - Support for multilingual posts, placeholders, social network meta tags and configurable apphooks

django CMS blog application - Support for multilingual posts, placeholders, social network meta tags and configurable apphooks. Supported Django versions: Supported django CMS versions:

Operator Discretization Library https://odlgroup.github.io/odl/

Installing ODL should be as easy as or ODL is compatible with Python 2/3 and all major platforms (GNU/Linux / Mac / Windows). This is an incomplete list of articles and projects using ODL. If you wan…

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

We provide here a suite of Python examples that walk you through concepts in: Classical & Deep Reinforcement Learning Basic & Advanced Machine Learning Anson Wong

SEO Python scripts and Apps by LeeFootSEO

Here’s a snapshot of what you’ll find in this repository: Contributions, suggestions, and feedback are always welcome! If you have ideas on how to improve these scripts or want to share your experien…

A command-line interface (CLI) utility written in pure Python to help you reduce the file size of images.

A command-line interface (CLI) utility written in pure Python to help you reduce the file size of images. This application is intended to be pure Python, with no special dependencies besides Pillow, …

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Rather Learn by exploring the code notebook in your browser? Click here: Clone this repository. Navigate to the directory that contains the repository using terminal/console/command line. Run this co…

A Python framework for program synthesis with a focus on Automated Machine Learning.

Technically speaking, AutoGOAL is a framework for program synthesis, i.e., finding the best program to solve a given problem, provided that the user can describe the space of all possible programs. A…