Search Results for "teaching" - Page 6
Sort By:
Showing 419 open source projects for "teaching"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
1
DeepMind Educational Resources
DeepMind's repo of educational notebooks for learning AI and research
...Specialized notebooks also explore creative AI applications, language modeling, generative models, and protein folding. Each tutorial is designed to be standalone and adaptable for self-study, classroom teaching, or use at summer schools and community workshops. -
2
Roger's Math Whiteboard
A Free, Open-Source Whiteboard App designed for Math Teachers.
.... *** Roger’s Math Whiteboard is a free, open-source, cross-platform, hardware independent whiteboard program designed around the needs of STEM teachers. It is designed to streamline the process of teaching math and science with a smart board, touchscreen or other similar device. It can best be understood as a multi-page image editor built for presenting/teaching use. This allows teachers to easily import a PowerPoint presentation, draw on the surface of each slide, add/remove pages if needed, and eventually save the finished product as a set of images for later use or perhaps distribution to the students. ... -
3
Padasip
Python Adaptive Signal Processing
...It includes a variety of adaptive filter algorithms such as LMS, RLS, and their variants, offering real-time adaptation to changing environments. The library is lightweight, well-documented, and ideal for research, prototyping, or teaching purposes. Padasip supports both supervised and unsupervised filtering modes and is built to be modular and extensible, making it easy to integrate into larger machine learning pipelines or control systems. -
4
tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
...The repo supports experimentation: you can run code, tweak hyperparameters, and follow guided exercises that strengthen practical mastery. Rather than being book-based, it is course-based, meaning the flow, examples and structure lean toward interactive teaching and incremental builds. It’s well-suited for those who want a focused, deep-learning path rather than a broad ML textbook. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
5
LC-3 VM
Write your own virtual machine for the LC-3 computer!
...If you don't want to go through the trouble of setting it up, your contributions are welcome. Just make your edits the .lit file, and we can regenerate it for you. Our VM will simulate a fictional computer called the LC-3. The LC-3 is popular for teaching university students how to program in assembly language. It has a simplified instruction set compared to x86, but contains all the main ideas used in modern CPUs. First, we need to simulate the essential hardware components of the machine. Try to understand what each component is, but don’t worry right now if you are unsure of how it fits into the larger picture. ... -
6
JavaMM
An IDE for teaching Java following the object-later approach
-
7
ConstraintSolver.jl
ConstraintSolver in Julia
This package aims to be a constraint solver completely written in Julia. The concepts are more or less fully described on my blog OpenSourc.es. There is of course also the general user manual here which explains how to solve your model. -
8
What happens when
What happens when you type google into your browser and press enter?
What happens when is a large collaborative documentation-style project that aims to answer in exhaustive detail the canonical interview/thought experiment question, “What happens when you type google into your browser and press Enter?” Rather than giving a high-level overview, the repository tries to break down every step in the process, from low-level events (keyboard press, OS events, keyboard interrupts), through OS-level handling (keyboard scan codes, key events), parsing, DNS lookup,... -
9
rethinking
Statistical Rethinking course and book package
This R package accompanies Richard McElreath’s Statistical Rethinking (2nd edition), offering utilities to fit and compare Bayesian models using both MAP estimation (quap) and Hamiltonian Monte Carlo via RStan (ulam). It supports specifying models via explicit distributional assumptions, providing flexibility for advanced statistical workflows. -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
10
Introduction-to-Autonomous-Robots
Introduction to Autonomous Robots
...The source-code is released under Creative Commons 4.0 (CC-BY-NC-ND), whereas the print version is copyrighted by MIT Press. You are therefore permitted to use images and content from the book for non-commercial purposes (including teaching) with proper attribution, but you cannot post compiled versions of the book online. In order to compile a PDF of this book yourself, you either need a working implementation of Latex on your computer or use the online Latex editor overleaf.com. Here, you can either upload a zip file of the source code ("download ZIP" option underneath the green "Code" button on this page), or fork the project into your Github account and import it directly into Overleaf from there. -
11
node-elm
Backend system based on node.js + Mongodb
...It typically includes authentication flows, input validation, and error handling that mirror production patterns. Data seeding or mock datasets provide a stable playground for front-end integration and end-to-end testing. As a teaching tool, it helps developers learn how front-end and back-end contracts evolve together and how to design APIs that are both pragmatic and maintainable. -
12
Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
DeepLearning-500-questions is a comprehensive handbook that compiles 500 important questions on deep learning, curated to serve as a valuable reference for AI engineer interviews and self-study. Edited by Tan Jiyong with contributions from Guo Zizhao, Li Jian, and Dian Songyi, the book systematically covers both theoretical foundations and practical applications of deep learning. The first sections focus on essential mathematics, machine learning basics, and deep learning foundations,... -
13
Statistics for Data Scientists
"Statistics for Data Scientists: 50 Essential Concepts"
The “statistics-for-data-scientists” repository is a pedagogical resource designed to bridge rigorous statistics theory and practical data science workflows. The code and materials are intended to help data scientists and analysts grasp statistical principles (e.g. inference, regressions, hypothesis testing, probability, confidence intervals) in contexts relevant to real data analysis tasks. The repository includes Jupyter notebooks, R scripts, worked examples, and possibly problem sets that... -
14
OFELI (Object Finite Element LIbrary) is a library of finite element C++ classes for multipurpose development of finite element software. It is intended for teaching, research and industrial developments as well.
-
15
SimECosmo
Cosmology, Simulation, Cosmologia, simulador
...Se você encontrar algum erro ou incongruência não exite de contactar os desenvolvedores. luan.ferreira@inpe.br English 🇬🇧🇺🇸 SimECosmo is an acronym in Portuguese for (Simulator for Teaching Cosmology). This is a project that aims to teach how comoslogical parameters affect theoretical prediction and how such predictions can be compared with theoretical data. It is important to note that for the program to work, it must be in the same folder as the 'Data' and 'Pictures' folder. -
16
Deep-Learning-with-TensorFlow-book
Open source Deep Learning book, based on TensorFlow
Deep-Learning-with-TensorFlow-book is an open-source deep learning book based on TensorFlow 2.0. It combines theory with practical examples, making it suitable for beginners who want to learn deep learning through hands-on code. The repository includes the PDF book, companion source code, course slides, and notebook-style materials. It covers core machine learning and deep learning concepts through TensorFlow-based implementation. The project also supports educational use, with materials... -
17
ai-edu
AI education materials for Chinese students, and teachers
Summary of open source community teaching resources for artificial intelligence education. This community is an artificial intelligence education and learning co-construction community created by the artificial intelligence education team of Microsoft Research Asia (MSRA). Under the guidance of the Ministry of Education, relying on the new generation of artificial intelligence open research and education platform, the R&D team of Microsoft Research Asia and the Academic Cooperation Department will provide comprehensive support for this community. ... -
18
Sklearn TensorFlow
Sklearn and TensorFlow: A Practical Guide to Machine Learning
...The repository organizes the content as structured documentation that can be compiled into multiple formats such as HTML, PDF, EPUB, and MOBI, allowing users to read the material both online and offline. It focuses on teaching core machine learning concepts using Python while demonstrating practical workflows with popular libraries like Scikit-Learn and TensorFlow. The material covers topics ranging from basic machine learning theory to deep learning techniques and model evaluation, enabling learners to build and experiment with models step by step. -
19
academic
A Jekyll theme for academia
A Jekyll theme designed for academia, although you can use it for almost any other purpose as well. -
20
raspberry-pi-os
Learning operating system development using Linux kernel and Raspberry
This project provides a step-by-step educational guide on building a simple operating system kernel entirely from scratch, specifically targeting the Raspberry Pi 3. The operating system, referred to as RPi OS, is inspired by the Linux kernel but remains intentionally minimal to focus on clarity and teaching fundamental OS concepts. Each lesson introduces a kernel feature and demonstrates its implementation within RPi OS, followed by a comparison to how the same concept is realized in the Linux kernel. The repository is structured so that every lesson corresponds to a snapshot of the source code at that stage, making it easier for learners to follow the progression of kernel development. ... -
21
Security Onion
Linux distro for threat hunting, enterprise security monitoring
...Our instructors are the only Security Onion Certified Instructors in the world and our course material is the only authorized training material for Security Onion. We've been teaching Security Onion classes and providing Professional Services since 2014. -
22
HamsterLab
education, children, course, C programming language, maze, 2d graphic
This project is meant to particularly support children in learning the C programming language by developing different kinds of hamster-based games in a 2D graphics environment. It is designed to be used for teaching classes and contains a possible lesson plan (currently only in German). Special thanks to Oliver Saalfeld for drawing the texture graphics. Please note that the software is not finished, yet, since it is developed right now in parallel to my current course. Also a user guide is supposed to come. By now, please read the README file in doc/ for some minor instructions. ... -
23
PS-Drone
Programming a Parrot AR.Drone 2.0 with Python - The Easy Way
...It was designed to be easy to learn, but it offers the full set of the possibilities of the AR.Drone 2.0, including Sensor-Data (aka NavData), Configuration and full Video-support. The video function is not restricted to mere viewing, it is also possible to analyze video images data using OpenCV2. Obviously, the PS-Drone is perfect for teaching purposes; however, even the requirements for professional purposes can be satisfied. PS-Drone comes with a tutorial, explaining its most important commands and the drone's most important sensor values. The examples are easy to understand for people with little programming experience. A full list of commands and a description of all sensor data is available in a detailed documentation. ... -
24
SLAMBook-en
The English version of 14 lectures on visual SLAM
This project is the English version of “14 Lectures on Visual SLAM: From Theory to Practice,” a text and teaching resource about visual simultaneous localization and mapping (SLAM). It provides the full LaTeX source (formerly Markdown) for all 14 chapters, letting readers compile and study the material systematically. Within the repository you’ll find organized subfolders (e.g. chapters, latex, resources) containing the lecture contents, references, figures, and supporting assets for each part of the course. ... -
25
Mininet
Emulator for rapid prototyping of Software Defined Networks
...Because you can easily interact with your network using the Mininet CLI (and API), customize it, share it with others, or deploy it on real hardware, Mininet is useful for development, teaching, and research. Mininet is also a great way to develop, share, and experiment with Software-Defined Networking (SDN) systems using OpenFlow and P4. Mininet is actively developed and supported, and is released under a permissive BSD Open Source license. We encourage you to contribute code, bug reports/fixes, documentation, and anything else that can improve the system! ...
