Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic…

Python interactive dashboards for learning data science

100% Python stream processing with Streaming DataFrames

RestAI is an AIaaS (AI as a Service) open-source platform. Built on top of LlamaIndex, Ollama and HF Pipelines. Supports any public LLM supported by LlamaIndex and any local LLM suported by Ollama.…

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A realtime and indexing and structured extraction engine for Unstructured Data to build Generative AI Applications

Data processing with ML and LLM

This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats.

OCR, layout analysis, reading order, line detection in 90+ languages

A definitive place to store all the Pulumi workshops

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

LLM (Large Language Model) FineTuning

Python Data Science Handbook: full text in Jupyter Notebooks

Deploy Flask Machine Learning Application on Azure App Services

AWS Lambda

utilizing targeted youtube searches to explore stock predictions

This is the final project for the data engineering class at Duke University.

A natural language interface for computers

A sample project dashboard landing page design that you can use as design inspiration or modify and make it work for your next project! 🚀

Simple UI examples from my social media

Chat with your PostHog data

A framework for building custom AI Copilots 🤖 in-app AI chatbots, in-app AI Agents, & AI-powered Textareas.

Create 🐍 Python AI Actions and 🤖 Automations, and deploy & operate them anywhere

The production toolkit for LLMs. Observability, prompt management and evaluations.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Prompt design using JSX.

Distribute and run LLMs with a single file.

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)