Search Results for "web-based notebook" - Page 5
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Showing 186 open source projects for "web-based notebook"
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Java-based language learning utility for vocabulary augmentation. - Insert words ( suggestions from Google ) - Make tests - Search and filter - Export/Import ( PDF, XML, XLS) - Conjugate - View corresponding images.
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HiPlot
HiPlot makes understanding high dimensional data easy
HiPlot is an interactive visualization toolkit for exploring high-dimensional experiments, especially those produced during hyperparameter search or ablation studies. Its core view is a parallel-coordinates plot that lets you brush, filter, and highlight runs to spot trade-offs, correlations, and Pareto fronts at a glance. You can load results from simple CSV/JSON logs or programmatically push “experiments” with typed fields, metrics, and tags. The UI supports dynamic filtering, color... -
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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. -
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python-tutorial
Practical Python tutorials, including Python basics
python-tutorial is a practical Python learning repository that collects examples for everyday programming tasks. It covers Python fundamentals, advanced language features, object-oriented programming, multithreading, databases, data science, Flask development, web crawling, and utility scripting. The project is intended for beginners learning Python and for working developers who want reference implementations for common scripts. Its examples are tested in a Python 3 environment and organized into topic-based directories. The repository also includes notebook-style learning materials for basic data types and core language concepts. ... -
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ReinventCommunity
Jupyter Notebook tutorials for REINVENT 3.2
This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2. -
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Store Management System
system which works as electronic notebook for keeping records...
Visit our site given below for the LATEST UPDATE and guide for use of store management system on https://tmotagam.github.io/ Shop management system which works as electronic notebook it keeps data about sales and also of products it has Point of sale backups and inventory system WHAT`S NEW: Added New Icon We have launched new project FTPT for sharing your files with your teams using ftp go check it out LINK https://sourceforge.net/projects/ftpt/ We have launched new project... -
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hebrew-gpt_neo
Hebrew text generation models based on EleutherAI's gpt-neo
Hebrew text generation models based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 which was made available to me via the TPU Research Cloud Program. The Open Super-large Crawled ALMAnaCH coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture. -
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles... -
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PyG2Plot
Python3 binding Plotting Library
...It lets Python users create statistical charts through a small amount of code while relying on G2Plot’s grammar-of-graphics foundation. The library is inspired by pyecharts and is designed to make web-based charts available from Python workflows. Users create a Plot instance, set chart options, and render the result as an HTML file, HTML string, notebook preview, or JupyterLab output. It also supports JavaScript callbacks through a JS helper, which makes advanced customization possible when chart behavior needs JavaScript logic. ... -
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Leanote Desktop App
Leanote Desktop App, based on Electron(atom-shell)
Leanote Desktop App, based on Electron(atom-shell). Use Leanote as a notebook/note, and manage your knowledge on Leanote. Do you like markdown? don't worry, Leanote support it. You can public your knowledge then Leanote is your blog! An awesome blog where you can create your own theme. Share your knowledge with your friends on Leanote. Collaborate with friends to improve your knowledge. -
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Swift for TensorFlow
Swift for TensorFlow
Swift for TensorFlow repository contains the open-source implementation of Swift for TensorFlow, a project that integrates machine learning capabilities directly into the Swift programming language. The initiative aims to provide a new programming model for developing machine learning systems by combining the power of TensorFlow with language-level features such as automatic differentiation and strong type systems. By embedding machine learning functionality into the Swift compiler and... -
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AnyBar
OS X menubar status indicator
AnyBar is a small indicator for your menubar that does one simple thing: it displays a colored dot. What the dot means and when to change it is up to you. AnyBar is controlled via a UDP port (1738 by default). Before any commands can be sent, AnyBar.app must be launched. Once launched, you may send it a message to change the style of the dot. black and white always has black or white fill. On Big Sur, where text color of menubar might change depending on the wallpaper, you might want to use... -
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Cloud Annotations
A fast, easy and collaborative open source image annotation tool
...For object detection, use the integrated tool to highlight target elements in your images. Train your model using the image annotations from the previous step. Practice using cutting-edge tools like Jupyter Notebook, Watson Machine Learning, Elyra, and more. -
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Kalman and Bayesian Filters in Python
Kalman Filter book using Jupyter Notebook
...What better way to learn? This book teaches you how to solve all sorts of filtering problems. Use many different algorithms, all based on Bayesian probability. In simple terms Bayesian probability determines what is likely to be true based on past information. This book is interactive. While you can read it online as static content, it's better to use it as intended. It is written using Jupyter Notebook, which allows you to combine text, math, Python, and Python output in one place. -
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sciNote
Open source electronic lab notebook (ELN) for scientists
sciNote is an open source electronic lab notebook (ELN) that helps you manage your laboratory work and stores all your experimental data in one place. sciNote is specifically designed for life science students, researchers, lab technicians and group leaders. -
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Jupytab
Display in Tableau data from Jupyter notebooks
Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab. -
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GIMP ML
AI for GNU Image Manipulation Program
This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on... -
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fastpages
Blogging platform, with enhanced support for Jupyter Notebooks
This site is built with fastpages, An easy to use blogging platform with extra features for Jupyter Notebooks. fastpages automates the process of creating blog posts via GitHub Actions, so you don’t have to fuss with conversion scripts. A full list of features can be found on GitHub. Create posts containing code, outputs of code (which can be interactive), formatted text, etc directly from Jupyter Notebooks; Notebook posts support features. -
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myCesiumflight
a webgl Cesium 3D flight simulator
myCesiumflight chung is a small Cesium engine based 3D webgl flight simulator written in html5, css and javascript . Fly anywhere in the world with photorealistic high resolution terrain imagery and elevation heightmaps . Uses cssscale to increase fps rate. (12 fps fullscreen on my notebook) standalone webgl and localhost modes available . Fetchs openstreetmap infos to display airports on radar and generate airports radio messages .Also osm bridges and buildings save and reload on startup . -
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Open in Colab
Open notebook in Colab from GitHub and Gist
Add-on that adds a button, «Open in Colab», to the header of IPython notebook in Gist and GitHub Open Jupyter Notebook in Colab from Gist and GitHub adding a button «Open in Colab» with this browser WebExtension -
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Python Handout
Turn Python scripts into handouts with Markdown and figures
Handout is a lightweight library for embedding rich, interactive components such as exercises, charts, and interactive diagrams directly into static documents like Markdown, Jupyter notebooks, or static HTML pages, enabling authors to create more engaging technical handouts, tutorials, and interactive essays. It’s particularly aimed at educators, presenters, and researchers who want to make their written material come alive with runnable demonstrations and interactive problem sets without... -
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nodebook
Multi-Lang Web REPL
Useful to practice algorithms and data structures for coding interviews. Nodebook is an in-browser REPL supporting many programming languages. Code's on the left, Console's on the right. Click "Run" or press Ctrl+Enter or Cmd+Enter to run your code. Code is automatically persisted on the file system. You can also use Nodebook directly on the command line, running your notebooks upon change. A notebook is a folder containing an {index|main}.{js,py,c,cpp,...} file. The homepage lists all of... -
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SwaNN
PSO for neural networks
...In Google Colab : https://colab.research.google.com/drive/1u6SOydDUThUrhTfaic2NiyDhh1ZGRJsH?usp=sharing What's new: - the jupyter notebook is reorganized and clean -
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TensorWatch
Debugging, monitoring and visualization for Python Machine Learning
TensorWatch is an open source debugging and visualization platform created by Microsoft Research to support machine learning, deep learning, and reinforcement learning workflows. It enables developers to observe training behavior in real time through interactive visualizations, primarily within Jupyter Notebook environments. The tool treats most data interactions as streams, allowing flexible routing, storage, and visualization of metrics generated during model training. A distinctive... -
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python-is-cool
Cool Python features for machine learning
python-is-cool is an educational repository created by AI researcher Chip Huyen that explores lesser-known features and powerful capabilities of the Python programming language. The project serves as a curated guide to Python techniques that many developers may overlook or hesitate to use due to unfamiliarity. It demonstrates practical language features, idiomatic programming patterns, and useful tricks that can make Python code more expressive, efficient, and elegant. Much of the content is...
