Showing 166 open source projects for "python code editor"

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  • 1
    D2L.ai

    D2L.ai

    Interactive deep learning book with multi-framework code

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth to...
    Downloads: 1 This Week
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  • 2
    Summarize from Feedback

    Summarize from Feedback

    Code for "Learning to summarize from human feedback"

    The summarize-from-feedback repository implements the methods from the paper “Learning to Summarize from Human Feedback”. Its purpose is to train a summarization model that better aligns with human preferences by first collecting human feedback (comparisons between summaries) to train a reward model, and then fine-tuning a policy (summarizer) to maximize that learned reward. The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling...
    Downloads: 0 This Week
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  • 3
    100 Days of Code YouTube

    100 Days of Code YouTube

    Source code for 100 days of code python course on YouTube

    100 Days of Code YouTube is a day-by-day source-code collection for a comprehensive Python programming course. The repository organizes lessons into numbered folders that progress from basic concepts to advanced language features. Early material covers variables, data types, input, strings, conditions, loops, functions, and common collections. Intermediate lessons explore exceptions, modules, file I/O, functional programming, and extensive object-oriented programming concepts. ...
    Downloads: 0 This Week
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  • 4
    Python Data Science Handbook

    Python Data Science Handbook

    Python Data Science Handbook: full text in Jupyter Notebooks

    The Python Data Science Handbook is a comprehensive collection of Jupyter notebooks written by Jake VanderPlas covering fundamental Python libraries for data science, including IPython, NumPy, Pandas, Matplotlib, Scikit-Learn and more. The project is designed for data scientists, researchers, and anyone transitioning into Python-based data work; it assumes you already know basic Python and focuses more on how to use the ecosystem effectively.
    Downloads: 9 This Week
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  • 5
    ThinkJulia.jl

    ThinkJulia.jl

    Port of the book Think Python to the Julia programming language

    ...By combining clear explanations with practical examples, the project helps both beginners and experienced programmers transition to Julia. The material emphasizes not only writing code but also reasoning about algorithms and problem-solving. Since it is freely available, learners and educators can use, adapt, and contribute to the content, making it a valuable resource for self-study or classroom use.
    Downloads: 2 This Week
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  • 6
    nanogpt-lecture

    nanogpt-lecture

    Code created in the Neural Networks: Zero To Hero video lecture

    ...Its compact Python code exposes core ideas such as tokenization, embeddings, attention, transformer blocks, training, and text generation. The Git history mirrors much of the progression shown during the lecture. The implementation favors educational clarity over production optimization and includes known limitations in areas such as weight initialization.
    Downloads: 0 This Week
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  • 7
    The Art of Programming

    The Art of Programming

    A collection of practical tips can be found at the bottom of this page

    The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the...
    Downloads: 1 This Week
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  • 8
    Automated_Quiz

    Automated_Quiz

    A Shell Script for Quizzing the whole class of students and log result

    Please download the above zip file and extract it to a secret folder and run the quiz.sh script from that folder in your terminal program, as shown in the youtube videos : https://youtu.be/kQi0XlIaT9M and https://youtu.be/prwKN5DiFp0 You may change the contents of the quiz.txt file to your liking, while maintaining the format of it. Note: Press Enter/Return key after typing on your Terminal, to proceed to the next step, while testing the quiz.sh script. Also, increase the terminal...
    Downloads: 2 This Week
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  • 9
    HTML Quiz Application With Timer & Point

    HTML Quiz Application With Timer & Point

    An Easy to Edit HTML, CSS & JAVASCRIPT QUIZ - For Students & Teachers

    Just Download & Extract the Above Zip File provided, then edit the script.js file with a good text / code editor like Sublime Text ( Check Google ) & then save the changes & then view the index.html file on the internet browser. That's all. This is a Browser Based, Cross Platform, Supporting all Operating Systems, Easy Application. If needed, you can change the value of the Timer from 15 seconds to any other value, by Searching & Replacing all occurences of 15 in index.html & script.js files. ...
    Downloads: 3 This Week
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  • 10
    The JavaScript Way

    The JavaScript Way

    The JavaScript Way book

    This repository contains the full source of The JavaScript Way, a beginner-friendly yet comprehensive free online book on JavaScript. It covers fundamentals through to frontend and backend development, built with MkDocs and deployed via Poetry-powered local server. It’s open under Creative Commons, code under MIT.
    Downloads: 0 This Week
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  • 11
    data-science-on-gcp

    data-science-on-gcp

    Source code accompanying book: Data Science on the GCP

    The data-science-on-gcp repository is a comprehensive collection of code examples and end-to-end workflows that accompany the book Data Science on the Google Cloud Platform, designed to teach developers how to build scalable data science and machine learning systems using Google Cloud services. It provides structured, chapter-aligned implementations that guide users through the full lifecycle of a data science project, including data ingestion, storage, processing, analysis, model training,...
    Downloads: 0 This Week
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  • 12
    WebEditorWeb

    WebEditorWeb

    Code editor in single HTML file

    Code editor written in a single HTML file that runs on the browser tab. There is no need to install, download a single file and run anywhere. To change the initial configuration, edit the wew.html file in the last lines. * WebEditorWeb use CodeMirror components in code editor.
    Downloads: 2 This Week
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  • 13
    WideW - WebIDEWeb

    WideW - WebIDEWeb

    Web IDE in single HTML file

    ...There is no need to install, download a single file and run anywhere. To change the initial configuration, edit the widew.html file in the last lines. * Widew use CodeMirror components in code editor. URLs: https://soluc.org/widew https://widew.sourceforge.io
    Downloads: 0 This Week
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  • 14
    DeepMind Educational Resources

    DeepMind Educational Resources

    DeepMind's repo of educational notebooks for learning AI and research

    ...The repository provides hands-on, beginner-friendly resources that introduce essential AI concepts through Google Colab notebooks, combining intuitive explanations with executable code. The tutorials cover a broad range of topics—from foundational Python programming and data handling to supervised, unsupervised, and reinforcement learning, as well as graph neural networks and scientific reasoning. Specialized notebooks also explore creative AI applications, language modeling, generative models, and protein folding. ...
    Downloads: 3 This Week
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  • 15
    Robot KAREL

    Robot KAREL

    programming language for children

    The robot knows commands step, left, right, pick, put, paint, delay. You can use integer variables, multidimensional arrays, arithmetic and logic operators, procedures and functions with parameters. The application includes a text editor, compiler, interpreter and debugger.
    Downloads: 3 This Week
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  • 16
    Reinforcement Learning Methods

    Reinforcement Learning Methods

    Simple Reinforcement learning tutorials

    Reinforcement-Learning-with-TensorFlow is an educational repository that walks through key reinforcement learning algorithms implemented in TensorFlow. It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can...
    Downloads: 0 This Week
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  • 17
    Hello AI World

    Hello AI World

    Guide to deploying deep-learning inference networks

    ...In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train your own DNN models onboard Jetson with PyTorch. Ready to dive into deep learning? It only takes two days. We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. ...
    Downloads: 1 This Week
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  • 18
    Brain Tokyo Workshop

    Brain Tokyo Workshop

    Experiments and code from Google Brain’s Tokyo research workshop

    The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The...
    Downloads: 7 This Week
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  • 19
    Catalyst

    Catalyst

    Accelerated deep learning R&D

    Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. ...
    Downloads: 2 This Week
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  • 20
    Machine Learning PyTorch Scikit-Learn

    Machine Learning PyTorch Scikit-Learn

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

    Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing...
    Downloads: 8 This Week
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  • 21
    Lines

    Lines

    Lines a game written in Python two players through internet

    Lines is an old game that I had programed in python (pygame). I usually prefer to use visual c# as a programing language. However, I wrote this game in python in a time period, I was learning python. Here, I want to thank all people who have training videos in youtube, they helped me a lot to make this program. Some of the code of the program is from these videos. The game can be played from one or two persons through internet.
    Downloads: 0 This Week
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  • 22
    Muc_systray x86

    Muc_systray x86

    A demonstration python animation system tray X86

    This project show you the potential of mini meme on your taskbar. That will help to maximize your OC expose promotion and the the way interaction. Full source code accessible.
    Downloads: 0 This Week
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  • 23
    game-programming-patterns

    game-programming-patterns

    Source repo for the book

    ...The book explains established design patterns alongside patterns that arise specifically in game development. Source chapters are maintained as Markdown and accompanied by code examples, illustrations, styles, and generated HTML. Topics include game loops, component architectures, event queues, object pools, spatial partitioning, data locality, and other performance-oriented designs. A Python formatting script transforms the book sources and templates into the published web edition. Watch mode can automatically rebuild pages as source files change. ...
    Downloads: 0 This Week
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  • 24
    TemaTres: controlled vocabulary server

    TemaTres: controlled vocabulary server

    Manage, Publish and Share Ontologies, Taxonomies, Thesauri, Glossaries

    Web application for management formal representations of knowledge, thesauri, taxonomies and multilingual vocabularies / Aplicación para la gestión de representaciones formales del conocimiento, tesauros, taxonomías, vocabularios multilingües. For the latest version of code: https://github.com/tematres/TemaTres-Vocabulary-Server
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    Downloads: 6 This Week
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  • 25
    Python Tutorials

    Python Tutorials

    Machine Learning Tutorials

    ...It also provides tutorials on machine learning frameworks and concepts, including TensorFlow, PyTorch, Keras, Scikit-Learn, and reinforcement learning techniques. Each section contains organized code and explanations designed to help learners understand the underlying mechanics of Python and common computational approaches.
    Downloads: 0 This Week
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