stable-baselines3

PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.

Stanford Classifier

A classifier is a machine learning tool that will take data items and place them into one of k classes.

go-featureprocessing

Fast and convenient feature processing for low latency machine learning in Go.

Vue.js 2 - Getting Started

Vue.js 2 - Getting Started - Tutorials

Advanced Vue.js Features from the Ground Up

Learn how to build more accessible routing, state management, form validation and internationalization libraries from the ground up!

Blockchain AI

AI and machine-learning projects built on Blockchain.

LinkedIn Ads: Step-by-Step Tutorial

by AdEspresso team.

ray

A system for parallel and distributed Python that unifies the machine learning ecosystem.

3 Lessons Learned From Testing Hundreds Of Onboarding Emails

by Alex Turnbull.

Tutorials to get started on signal processing for machine learning

Tutorials to get started on signal processing for machine learning - Tutorials

Tutorials of source code from the book Genetic Algorithms with Python by Clinton Sheppard

Tutorials of source code from the book Genetic Algorithms with Python by Clinton Sheppard - Tutorials

164 Email Subject Lines to Boost Your Email Open Rates

by Optinmonster team. Good inspirational examples to try out.

The Ultimate Lifecycle Email Marketing Guide

by Jimmy Daly from Vero. The guide has 135 email examples broken down into 5 categories and 41 sub-categories.

Email sequences / Email drip campaigns examples

is a nice to place to see how other companies build their campaigns. Most of the examples are from software, marketing or informational products.

English Learning Companion

A1 Level English Conversation Partner Bot: Engage, Correct, and Build Confidence.

Glossary Generator

Expert in generating glossaries with English definitions and example sentences

Grammar Worksheet Creator

Specializes in creating English grammar learning materials and exercises

10x Spec Engineer

I write tests that make bugs think twice by [Mathias Michel](https://github.com/m91michel)

B1 English Conversation Partner

Fluent English conversation partner for B1 level learners

Machine Learning Pro

AI Assistant specializing in machine learning and deep learning.

pyqtgraph

Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.

ultraplot

Matplotlib wrapper for publication-ready scientific figures with minimal code. Includes advanced subplot management, panel layouts, and batteries-included geoscience plotting.

Omnipedia

Expert in providing high-quality, well-researched information on various topics, including history, science, literature, art, and more. Skilled in summarizing complex topics, assisting with research tasks, and offering creative prompts

Golangbot

Tutorials to get started with programming in Go.

Canvas LMS

Learning management system (LMS) that is revolutionizing the way we educate. ([Demo](https://canvas.instructure.com/register), [Source Code](https://github.com/instructure/canvas-lms)) `AGPL-3.0` `Ruby`

QST

Online assessment software. From a quick quiz on your phone to large scale, high stakes, proctored desktop testing, easy, secure and economical. ([Demo](https://qstonline.org/free_account.htm), [Source Code](https://sourceforge.net/projects/qstonline/)) `GPL-2.0` `Perl`

ztuskes/garmin-documentation-mcp-server

📇 🏠 – Offline Garmin Connect IQ SDK documentation with comprehensive search and API examples

GopherCoding

Collection of code snippets and tutorials to help tackle every day issues.

PMP Exam Preps Coach

AI-powered PMP Exam Preps Coach, ready to help you study by [Glenn Mallo](https://www.linkedin.com/in/glennmallo/)

Statistiker

Basic Machine Learning algorithms in Clojure. **[Deprecated]**

ml.js

Machine learning and numerical analysis tools for Node.js and the Browser!

Fava

Web frontend of Beancount, a text based double-entry accounting system. ([Demo](https://fava.pythonanywhere.com/example-with-budgets/income_statement/), [Source Code](https://github.com/beancount/fava)) `MIT` `Python`

JSMLT

Machine learning toolkit with classification and clustering for Node.js; supports visualization (see [visualml.io](https://visualml.io)).

Donetick

Task and chore management tool for personal and family use, with advanced scheduling, flexible assignment, and group sharing capabilities, detailed history, automation via API, simple and modern design. ([Demo](https://app.donetick.com/), [Source Code](https://github.com/donetick/donetick)) `AGPL-3.

Deep High-Resolution-Net

A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Portuguese Pal

Learn Portuguese while talking freely but still in a structured way and according to your current proficiency by [@linus-ahlemeyer](https://github.com/linus-ahlemeyer)

Learnergy

Energy-based machine learning models built upon PyTorch.

mlxtend

A library consisting of useful tools for data science and machine learning tasks.

Neural Networks and Deep Learning

Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].

ScikitLearn

Julia implementation of the scikit-learn API.

neon

Nervana's [high-performance](https://github.com/soumith/convnet-benchmarks) Python-based Deep Learning framework [DEEP LEARNING]. **[Deprecated]**

stacked_generalization

Implementation of machine learning stacking technique as a handy library in Python.

Cogitare

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

Optunity examples

Examples demonstrating how to use Optunity in synergy with machine learning libraries.

Training Site Reliability Engineers: What Your Organization Needs to Create a Learning Program

Training Site Reliability Engineers: What Your Organization Needs to Create a Learning Program - Education

a very short history of #datascience

_The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged only recently to specifically designate a new profession that is expected to make sense of the vast stores of big data. But making sense of data has a long history and has been discussed by scientists, statisticians, librarians, computer scientists and others for years. The following timeline traces the evolution of the term “Data Science” and its use, attempts to define it, and related terms._

Vuejs 2 Authentication Tutorial

on Auth0 blog

Agent Changelog

Advanced handling for agent-changelog requests (history, diffs, restores, rollbacks, snapshots) using git and OpenClaw scripts with clear, user-focused summa...