heynote
MindsDB
| heynote | MindsDB | |
|---|---|---|
| 7 | 78 | |
| 3,524 | 21,354 | |
| - | 1.7% | |
| 9.2 | 10.0 | |
| about 2 months ago | 6 days ago | |
| JavaScript | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
heynote
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LaTeX and Neovim for technical note-taking
Most of my technical note-taking these days happens inside VS Code. I already have it running, so opening a new window and stripping out the chrome (closing other stuff, hiding sidebars, etc. gives me all I need, _plus_ optional preview depending on on what I'm writing (mostly Markdown these days).
Another option some of my friends like is Heynote (https://heynote.com), but, again, I can do the same with VS Code...
- FLaNK Stack 29 Jan 2024
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Why I Like Obsidian
obsidian is good for what it does, but in the last month I saw someone share heynote[1] with me that I have grown fond of as a support to my obsidian note taking
[1] https://heynote.com
- FLaNK Weekly 08 Jan 2024
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Show HN: Heynote – A Dedicated Scratchpad for Developers
I’m eagerly waiting for the vi bindings as well!
P.S.: had a quick glance through the PRs after using it for sometime and saw a draft PR for vi bindings already! - https://github.com/heyman/heynote/pull/51
MindsDB
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What’s the Difference Between Fine-tuning, Retraining, and RAG?
Check us out on GitHub.
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How to Forecast Air Temperatures with AI + IoT Sensor Data
If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.
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Fine-tuning a Mistral Language Model with Anyscale
MindsDB is an open-source AI platform for developers that connects AI/ML models with real-time data. It provides tools and automation to easily build and maintain personalized AI solutions.
- Vanna.ai: Chat with your SQL database
- FLaNK Weekly 08 Jan 2024
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MindsDB Docker Extension: Build ML powered apps at a much faster pace
MindsDB combines both AI and SQL functions in one; users can create, train, optimize, and deploy ML models without the need for external tools. Data analysts can create and visualize forecasts without having to navigate the complexities of ML pipelines.MindsDB is open-source and works with well-known databases like MySQL, Postgres, Redit, Snowflakes, etc.
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How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
Mindsdb is a good example. It abstracts everything related to an AI workflow as "virtual tables". For example, you can import OpenAI API as a "virtual table":
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🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
Repo : https://github.com/mindsdb/mindsdb
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AI-Powered Selection of Asset Management Companies using MindsDB and LlamaIndex
MindsDB is an AI Automation platform for building AI/ML powered features and applications. It works by connecting any data source with any AI/ML model or framework and automating how real-time data flows between them. MindsDB is integrated with LlamaIndex, which makes use of its data framework for connecting custom data sources to large language models. LlamaIndex data ingestion allows you to connect to data sources like PDF’s, webpages, etc., provides data indexing and a query interface that takes input prompts from your data and provides knowledge-augmented responses, thus making it easy to Q&A over documents and webpages.
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Using Large Language Models inside your database with MindsDB
Now, imagine if you can deploy these highly trained models in your database to get insights, make predictions, understand your users, auto-generate content, and more. MindsDB makes this possible! MindsDB is an open-source AI database middleware that allows you to supercharge your databases by integrating various machine learning (ML) engines.
What are some alternatives?
codi.vim - :notebook_with_decorative_cover: The interactive scratchpad for hackers.
tensorflow - An Open Source Machine Learning Framework for Everyone
logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
mathjs - An extensive math library for JavaScript and Node.js
postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
pong-wars
CapRover - Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
fend - Arbitrary-precision unit-aware calculator
scikit-learn - scikit-learn: machine learning in Python
todo.txt-cli - ☑️ A simple and extensible shell script for managing your todo.txt file.
lightwood - Lightwood is Legos for Machine Learning.