Search Results for "notebook" - Page 7
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Showing 386 open source projects for "notebook"
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SALEM (Saints and Sinners III)
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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Django Notebook
Django + shell_plus + Jupyter notebooks made easy
Django + shell_plus + Jupyter notebooks made easy. A Jupyter notebook with access to objects from the Django ORM is a powerful tool to introspect data and run ad-hoc queries. Built-in integration with the imported objects from django-extensions shell_plus. Saves the state between sessions so you don't need to remember what you did. Inheritance diagrams on any object, including ORM models. -
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Automated Tool for Optimized Modelling
Automated Tool for Optimized Modelling
...This usually involves applying standard data cleaning steps, creating or selecting useful features, trying out different models, etc. Testing multiple pipelines requires many lines of code, and writing it all in the same notebook often makes it long and cluttered. On the other hand, using multiple notebooks makes it harder to compare the results and to keep an overview. On top of that, refactoring the code for every test can be quite time-consuming. How many times have you conducted the same action to pre-process a raw dataset? How many times have you copy-and-pasted code from an old repository to re-use it in a new use case? ... -
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OptimWin Batch
Batch to Speedup Windows (XP-11) settings and utilities collection
https://sourceforge.net/p/optimwin-batch/ OptimWin by isidrococo at gmail This has a collection of utilities and mainly a big batch to automatically optimize and disable a huge amount of settings (Scheduled Tasks, LOGs, Services, delete Temp/Caches, etc) for Windows XP or later. Also includes a bunch of utilities, all decompressed at C:\UT Install: Decompress to a folder: 7.exe, 7z.dll, OptimWinInst.BAT, UT1.ZIP and [UT2.7z] Execute OptimWinInst.bat (some browsers deletes ".bat"... -
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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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Machine learning basics
Plain python implementations of basic machine learning algorithms
...The repository includes notebooks that demonstrate classic algorithms such as linear regression, logistic regression, k-nearest neighbors, decision trees, support vector machines, and clustering techniques. Each notebook typically combines explanatory text, Python code, and visualizations to illustrate how the algorithm operates and how it can be applied to datasets. -
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SoniTranslate
Synchronized Translation for Videos
...The project supports a wide range of languages for translation, spanning major world languages (English, Spanish, French, German, Chinese, Arabic, etc.) and many regional or less widely spoken languages, making it suitable for broad internationalization. It offers multiple usage modes, including a Colab notebook for cloud-based experimentation, a Hugging Face Space demo for quick trials, and instructions. -
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ChatTTS_colab
One-click deployment (including offline integration package)
ChatTTS_colab is a wrapper project around the ChatTTS model that focuses on “one-click” deployment, especially in Google Colab. It provides an integrated offline bundle and scripts for Windows and macOS so users can run ChatTTS locally without wrestling with complex environment setup. The repository includes Colab notebooks that launch a Gradio-based web UI and expose streaming TTS, making it possible to listen to generated audio as it is produced. A distinctive feature is the “voice gacha”... -
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ipytest
Pytest in IPython notebooks
ipytest allows you to run Pytest in Jupyter notebooks. ipytest aims to give access to the full pytest experience and to make it easy to transfer tests out of notebooks into separate test files. -
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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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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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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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Tensor Puzzles
Solve puzzles. Improve your pytorch
...This constraint encourages a deeper understanding of shapes, indexing, and vectorized computation. Automated tests and visual examples help learners check their reasoning as they progress. The notebook is designed for Google Colab and is accompanied by a video walkthrough. -
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Machine Learning Notebooks
Machine Learning Notebooks
...The project focuses on delivering concise, well-structured Jupyter notebooks that demonstrate how to build, train, and evaluate models using modern machine learning frameworks such as PyTorch. Each notebook is intentionally lightweight, avoiding unnecessary complexity so that users can easily understand the core concepts and adapt the code to their own projects. The repository supports a wide range of applications, including natural language processing, computer vision, and general deep learning workflows. It is also designed to be easily extensible, allowing developers and researchers to build upon the provided examples without needing to restructure the codebase. -
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Jupyter Notebook Viewer
A Jupyter notebook viewer for macOS
A native macOS application to view Jupyter/IPython notebooks. -
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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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scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
...The series introduces fundamental machine learning concepts such as classification, regression, model evaluation, feature engineering, and cross-validation using clear examples and real datasets. Each video corresponds to a notebook that walks through the code step by step, allowing students to see both the theoretical explanation and its practical implementation. The project emphasizes accessibility and beginner-friendly explanations, making it suitable for learners who are new to data science or machine learning programming. The tutorials collectively span several hours of instructional content and demonstrate how to build predictive models using Python tools commonly used in the data science ecosystem. -
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nb2mail
Send a notebook as an email
This repo contains a jupyter nbconvert exporter to convert notebooks to multipart MIME, and a postprocessor to send it via smtp. nb2mail does not do anything by itself. It provides an export format ("mail") and postprocessor ("SendMailPostProcessor"). Please see the nbconvert documentation and example configuration for more information. -
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Coq Jupyter
Jupyter kernel for Coq
...Also, make sure the python command is recognized on your machine. If not you can set up an alias for it e.g. python-is-python3 on Ubuntu. There are a number of convenience improvements over standard Jupyter notebook behavior that are implemented to support Coq-specific use cases. -
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Mixtral offloading
Run Mixtral-8x7B models in Colab or consumer desktops
...By selectively loading and caching the required experts, the system avoids keeping the entire model in GPU memory at once. The repository includes notebooks and code examples that demonstrate how to run large language models on consumer hardware such as personal GPUs or cloud notebook environments. -
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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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...While the analysis has to come as a secondary priority to other responsibilities, this data set can serve at least 2 purposes: 1) Provide an experimental public lab notebook / log for an on-going experiment 2) After a few processed data sets have been added, provide an intermediate citation In the meantime, the best citation to use is probably the GitHub acknowledgements: https://github.com/cwarden45/RNAseq_templates/blob/master/TopHat_Workflow/README.md
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Academic File Converter
Import Bibtex publications and Jupyter Notebook posts into websites
Easily import publications and Jupyter notebooks to your Markdown-formatted website or book. -
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databooks
A CLI tool to reduce the friction between data scientists
databooks is a package to ease the collaboration between data scientists using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and resolution of git conflicts when encountered. Simply specify the paths for notebook files to remove metadata. By doing so, we can already avoid many of the conflicts. Specify the paths for notebook files with conflicts to be fixed. Then, databooks finds the source notebooks that caused the conflicts and compares them (so no JSON manipulation!) Specify paths of notebooks to be checked, an expression or recipe of what you'd like to enforce. databooks will run your checks and raise errors if any notebook does not comply with the desired metadata values. ... -
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Prompt-to-Prompt
Latent Diffusion and Stable Diffusion Implementation
Prompt-to-Prompt is a research codebase that demonstrates how to edit images generated by diffusion models using only changes to the text prompt. Instead of retraining or heavy fine-tuning, it manipulates the model’s cross-attention maps so the structure of the original image is largely preserved while semantics shift according to the revised prompt. The method supports gentle edits (e.g., style, color, lighting) as well as stronger semantic substitutions, and it can localize edits to...
