Machine Libraries

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Machine Libraries

Open source annotation tool for machine learning practitioners.

doccano is an open-source text annotation tool for humans. It provides annotation features for text classification, sequence labeling, and sequence to sequence tasks. You can create labeled data for …

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. We t…

An open-source, low-code machine learning library in Python

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the ex…

🔥 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 collection of machine learning examples and tutorials.

A collection of machine learning examples and tutorials. Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were d…

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Install CatBoost by following the guide for the Next you may want to investigate: If you cannot open documentation in your browser try adding yastatic.net and yastat.net to the list of allowed domain…

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

There are several ways to get in touch with us:

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

cleanlab is: cleanlab supports Linux, macOS, and Windows and runs on Python 3.7+. cleanlab can find label issues from any model's predicted class probabilities if you can produce them yourself. This …

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

published September 20th, 2017 Oh, there are so many things that we improved or added; where should I start!? The one issue on top of my priority list was to fix all the nasty typos that were introdu…

An open source python library for automated feature engineering

Install with pip You can install add-ons individually or all at once by running Below is an example of using Deep Feature Synthesis (DFS) to perform automated feature engineering. In this example, we…

:speech_balloon: Machine Learning Course with Python:

The purpose of this project is to provide a comprehensive and yet simple course in Machine Learning using Python. Please consider the following criterions in order to help us in a better way: We are …

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

pix2tex: Using a ViT to convert images of equations into LaTeX code.

The goal of this project is to create a learning based system that takes an image of a math formula and returns corresponding LaTeX code. To run the model you need Python 3.7+ Model checkpoints will …

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imbalanced-learn requires the following dependencies: Additionally, imbalanced-learn requires the following optional dependencies: The examples will requires the following additional dependencies: im…

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Development work has resumed on the framework with the aim of bringing it into 2020: Python 3.8+, Less Dependencies, Ease of Use (Installer, GUI) and much more! Still open-source with a permissive li…

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

GitHub GitHub issues -- file bug reports / track issues here Stack Overflow -- ask all code/software questions here Cross Validated (Stack Exchange) -- ask algorithm/theory questions here h2ostream G…

Python code for "Probabilistic Machine learning" book by Kevin Murphy

The notebooks needed to make all the figures are available at the following locations. You can use any of the following options to install the other requirements. Run Then install manually.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

A Mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning. Machine Learning is a subfield of computer science that gives computers the ability to learn without being explic…

A flexible, high-performance serving system for machine learning models

To note a few features: The easiest and most straight-forward way of using TensorFlow Serving is with Docker images. We highly recommend this route unless you have specific needs that are not address…

A log of things I'm learning

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Deep learning with satellite & aerial imagery

Extracting roads is challenging due to the occlusions caused by other objects and the complex traffic environment In instance segmentation, each individual 'instance' of a segmented area is given a u…

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

It's compatible with python 3. Say we want to fetch all related post titles in a stackoverflow page: Here's the output: Say we want to scrape live stock prices from yahoo finance: Now we can get the …

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. Embeddings databases are a union of vector indexes (sparse and dense), graph networks a…

A supercharged version of paperless: scan, index and archive all your physical documents

Paperless-ng is a fork of the original project, adding a new interface and many other changes under the hood. These key points should help you decide whether Paperless-ng is something you would prefe…

Image augmentation library in Python for machine learning.

Augmentor is an image augmentation library in Python for machine learning. It aims to be a standalone library that is platform and framework independent, which is more convenient, allows for finer gr…

Feature Store for Machine Learning

Feast allows ML platform teams to: The list below contains the functionality that contributors are planning to develop for Feast. We welcome contribution to all items in the roadmap! Feast is a commu…

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Sebastian Raschka 2014-2024 To install mlxtend, just execute If you use conda, to install mlxtend just execute The mlxtend version on PyPI may always be one step behind; you can install the latest de…

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