Search Results for "web-based notebook" - Page 4
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Showing 186 open source projects for "web-based notebook"
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Nest-o-Patch
Software for analysis of patch-clamp recordings and other wave data
This program was designed mainly for preconditioning and analysis of electrophysiological data, including patch-clamp and 2-electrode voltage clamp recordings. The program includes tools both for basic analysis of whole-cell recordings or analysis of single channel properties. Program can display and analyse long traces incuding many sweeps, series and even groups simultaneously. Current amplitudes or time intervals are easily measured. Single channel conductance, kinetics, NPo, as well as... -
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SALEM (Saints and Sinners II)
The Witch City sub-distribution w/Salem, the WCL session scripture.
Salem consists of the Witch City Linux Scripture, Bewitch, and a supporting cast of characters that make up the Witch City Linux experience. I began coding it in Salem, Mass; hence, the name. The entire ensemble is located at /usr/lib/WCL, with 3 symlinks in /usr/bin (be, CDE, wcl) pointing to relative parts within. A WCL folder ($SALEM) is created in the user's home directory upon the initial session login. Documentation and Readmes are provided by Salem, and are available in plain text... -
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PyNotes
An advanced Emacs-like text editor and IDE made in Python.
PyNotes is an advanced Emacs-like text editor and IDE made in Python, but much simpler for new users. -
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gpt-investor
Experimental investment analysis agent that utilizes the Claude 3 Opus
gpt-investor is an experimental AI investment analysis notebook centered on Claude-based stock research workflows. Its first release, Claude-Investor, analyzes companies within a user-selected industry and produces comparative investment reports. The notebook generates relevant ticker symbols, retrieves historical prices, financial statements, balance sheet data, news, analyst ratings, and price targets. -
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EORTOLOGIO-HMEROLOGIO v.3.5.5-AllSeasons
GReortes is a powerfull Greek calendar application (Linux 64bit)
GReortes 3.5 is a Greek personal calendar and religious holidays application for Linux 64bit OSs written in C ! Tested successfully on many popular distributions ( Ubuntu , Debian, MX Linux, Arch, Linux Mint , EndeavourOs, Pop-OS, Zorin, Fedora, KDE Neon , Kubuntu etc.) Allows the user to keep a personal diary for which data can be searched anytime. Code : https://github.com/fanisatt/EORTOLOGIO-GR (See latest version 3.5) Details in Greek .... -
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gpt-author
Utilizes a chain of GPT-4, Stable Diffusion, and Anthropic API calls
...The project includes GPT-based notebooks, a newer Claude 3 notebook, example outputs, and instructions for running in Google Colab or a local Jupyter environment. It is useful as a creative AI writing experiment for long-form generation, storytelling pipelines, and automated e-book prototyping. -
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AIConfig
AIConfig is a config-based framework to build generative AI apps
AIConfig is an open-source framework designed to simplify the development and management of generative AI applications by separating AI logic from application code. The framework allows prompts, model configurations, and parameters to be stored as structured configuration files that can be version controlled and managed independently from the rest of the software system. This approach improves collaboration between developers, prompt engineers, and machine learning practitioners by turning... -
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text-generation-webui-colab
A colab gradio web UI for running Large Language Models
text-generation-webui-colab is a repository that provides Google Colab notebooks designed to simplify the process of running large language models through the popular text-generation-webui interface. The project automates the setup and deployment of AI models in cloud-based notebook environments, allowing users to experiment with text generation systems without configuring complex local environments. By leveraging Google Colab, the repository enables users to run open-source models such as LLaMA-based systems and other instruction-tuned models using accessible GPU resources. The notebooks automatically install dependencies, download models, and launch the graphical interface that allows users to interact with language models directly from the browser. ... -
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LLM Training Puzzles
What would you do with 1000 H100s
LLM Training Puzzles is a notebook-based collection of eight exercises about training large neural networks across many GPUs. It introduces the core primitives behind distributed language model training without requiring access to a thousand-machine cluster. The puzzles focus on memory efficiency, communication, partitioning, and compute pipelining. Learners work through simplified scenarios that expose the tradeoffs hidden inside large training systems. -
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Cr OS Linux Flex Beta (Discontinued)
The Discontinuation of Cr OS Linux was an Updated DIY Distro Fan Page
...We call it the Chrome Beta plated OS, because it is stable and shiny. This open source project provides a lightweight Linux distribution similar to Google Chrome OS for the best web browsing experience on any Desktop PC, Netbook, Notebook, or Laptop. With Cr OS Linux KDE, you'll have cutting edge technology being installed on your system. You'll also have Security, Privacy, and Anonymous Protection on your PC. It's Fast, Very Fast, & Extremely Safe to use. Cr OS Linux 12 is Continued from Version 2.4.1290 Cr OS Linux is not related to Google. ... -
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ipyvolume
3d plotting for Python in the Jupyter notebook
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL. Create quiver plots (like scatter, but with an arrow pointing in a particular direction). Render in the Jupyter notebook, or create a standalone html page (or snippet to embed in your page). Render in stereo, for virtual reality with Google Cardboard. Animate in d3 style, for instance, if the x coordinates or color of a scatter plots changes. -
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TensorFlow Ranking
Learning to rank in TensorFlow
...Unbiased Learning-to-Rank from biased feedback data. We envision that this library will provide a convenient open platform for hosting and advancing state-of-the-art ranking models based on deep learning techniques, and thus facilitate both academic research and industrial applications. We provide a demo, with no installation required, to get started on using TF-Ranking. This demo runs on a colaboratory notebook, an interactive Python environment. Using sparse features and embeddings in TF-Ranking. -
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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. Each chapter is a standalone Jupyter notebook, with runnable code, explanatory prose, visuals, and examples showing how to handle data-wrangling, exploratory data analysis, machine learning workflows, and visualization. The repository is freely available and the code is released under the MIT license; the textual content is released under a Creative Commons license. ... -
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Bayesian Methods for Hackers
An introduction to Bayesian methods + probabilistic programming
...It is written from a computation-first perspective, prioritizing intuition, examples, and executable notebooks over heavy mathematical formalism. The project introduces readers to uncertainty, Bayesian modeling, MCMC, priors, posteriors, and real-world probabilistic reasoning. It includes notebook-based chapters that let learners run and modify examples directly. The material is especially useful for programmers, data scientists, and technically curious readers who want to learn Bayesian methods through code. It remains a widely referenced entry point for making Bayesian statistics feel practical and approachable. -
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CARTOframes
CARTO Python package for data scientists
A Python package for integrating CARTO maps, analysis, and data services into data science workflows. Python data analysis workflows often rely on the de facto standards pandas and Jupyter notebooks. Integrating CARTO into this workflow saves data scientists time and energy by not having to export datasets as files or retain multiple copies of the data. Instead, CARTOframes give the ability to communicate reproducible analysis while providing the ability to gain from CARTO's services like... -
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System Design Notebook
Learn System Design step by step
System Design Notebook is a structured, personal knowledge base for learning and practicing system design, written in a way that mirrors real interview and on-the-job thinking. Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation. It emphasizes reasoning: why you pick a certain database, why you shard, why you put a queue, and what... -
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ArtLine
Deep learning tool that converts portrait photos into line art
...An extended version integrates ControlNet, allowing users to guide the output style through textual instructions alongside the input image. ArtLine is primarily distributed as Jupyter notebooks, making it accessible for experimentation and interactive usage, especially in notebook-based environments. While the system can produce impressive results, it is sensitive to factors like lighting, background complexity, and image quality, and still struggles with elements such as shadows and fine details like hair. -
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Hydrogen
Run code interactively, inspect data, and plot
...By bringing the interactive style of Light Table to the rock-solid usability of Atom, Hydrogen makes it easy to write code the way you want to. You also may be interested in our latest project – interact – a desktop application that wraps up the best of the web-based Jupyter notebook. Watch expressions let you keep track of variables and re-run snippets after every change. Completions from the running kernel, just like autocomplete in the Chrome dev tools. Code can be inspected to show useful information provided by the running kernel. One kernel per language (so you can run snippets from several files, all in the same namespace). -
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starboard-notebook
In-browser literate notebooks
starboard-notebook is an in-browser literate notebook runtime that enables users to write, edit, and interact with computational documents directly in the browser without needing a traditional backend notebook server. The project is built around an innovative runtime that interprets code cells and markdown in a way that feels fluid and interactive, often bridging concepts from classical notebook tools with modern web technologies. -
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Bloxs
Build dashboards in Jupyter Notebook with numeric and chart boxes
Bloxs is a simple Python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook. -
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gophernotes
The Go kernel for Jupyter notebooks and nteract
gophernotes is a Go kernel for Jupyter notebooks and nteract. It lets you use Go interactively in a browser-based notebook or desktop app. Use gophernotes to create and share documents that contain live Go code, equations, visualizations and explanatory text. These notebooks, with the live Go code, can then be shared with others via email, Dropbox, GitHub and the Jupyter Notebook Viewer. Go forth and do data science, or anything else interesting, with Go notebooks! ... -
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CCG
CCG (Crud Class Generator) is a ORM tool for .Net
The Crud Class Generator tool was developed for .Net to generate the class, which is an object model of a database table. Thanks to these created classes, many CRUD operations can be performed without writing a SQL query. *CCG is easy to use, because; it is developer-friendly *CCG is practical, because; it allows to make many crud processes without writing SQL query *CCG is fast because; The object size is very small and allowing multiple simultaneous operations to be performed by going... -
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pyDesk OS
An Xubuntu-based distro with Python dev tools
PyDesk is an Xubuntu-based distribution with basic development tools of Python. In the current version, IDLE, pip, venv and Jupyter Notebook are pre-installed. -
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elastic-jupyter-operator
Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes
Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text, and multimedia resources in a single document. For data scientists and machine learning engineers, Jupyter has emerged as a de facto standard. At the same time, there has been growing criticism that the way notebooks are being used leads to low resource utilization. -
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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.
