Indy Scriabin (indyscriabin)

indyscriabin

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Location:Palo Alto, CA, USA

Twitter:@indyscriabin

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Indy Scriabin's starred repositories

no-code-ml-mpodel-training-app

Streamlit based no code ML model training web application

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open-interpreter

A natural language interface for computers

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devika

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

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FakeServer

An end to end walkthrough of LLaMA CPP's server.

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one-click-llms

One click templates for inferencing Language Models

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minGrok

A minimal implementation of the architecture used in XAI's Grok-1 designed for teaching purposes

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Dash-by-Plotly

Interactive data analytics

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YouTube-Blog

Codes to complement YouTube videos and blog posts on Medium.

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LaVague

Large Action Model framework to develop AI Web Agents

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grok-1

Grok open release

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MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

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RAG-chat-with-documents

Chainlit app for advanced RAG. Uses llamaparse, langchain, qdrant and models from groq.

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FuseAI

FuseAI Project

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Laplace

Laplace approximations for Deep Learning.

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lapeft-bayesopt

Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.

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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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learn-ai

A bunch of resources to learn Generative AI

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anything-llm

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

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winterjs

Winter is coming... ❄️

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gptme

A CLI and web UI to interact with LLMs in a Chat-style interface, with code execution capabilities and other tools.

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install-guides

Various installation guides for Large Language Models

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VectorHub

VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.

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