🔮 My Personal Open Source'rer Profile
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Updated
May 20, 2024
The branch of computer science dealing with the reproduction, or mimicking of human-level intelligence, self-awareness, knowledge, conscience, and thought in computer programs.
🔮 My Personal Open Source'rer Profile
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
💬 ChatGPT, the GPT Store and Sourceduty's custom GPTs.
Integrate cutting-edge LLM technology quickly and easily into your apps
Hello, I'm Sazumi, your co-pilot. Did you know that a frightening future awaits us? The era of humans will be isolated and dominated by artificial intelligence. That's what I represent.
This package implements the trustee framework to extract decision tree explanation from black-box ML models.
A unified SQL query interface and portable runtime to locally materialize, accelerate, and query datasets from any database, data warehouse, or data lake.
The Open-Source React / Javascript Library To Build Conversational AI Interfaces
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
Implementing a Denoising Diffsuion Probabilistic Model (DDPM) on Tensorflow from scratch for Pokémon sprites synthesis
The open-source tool for building high-quality datasets and computer vision models
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Oxen.ai's core rust library, server, and CLI
🔢 Create mathematical simulations and models.
🧮 Mathematical theorem proving assistant.
⚛️ Prove any type of theory, including mathematical, social, and economic theories.
Research on the spread of online media on X (formerly Twitter). Can we observe differences in the spread of fake and real news? Do users who spread fake/real news gain more of a following? Are real articles more popular than fake ones? Along with this, a neural network will be made to predict varality of an article based on its content.
Build LLM-powered applications in Ruby
Adversarial attacks on LLMs, for influencing outputs of hidden layer linear probes and steering generations.