Robert McKee's starred repositories

python-agents-tutorial

Code samples from our Python agents tutorial

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kdbai-samples

Developer samples for the KDB.AI vector database

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llama_parse

Parse files for optimal RAG

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Prompt-Engineering-Guide

πŸ™ Guides, papers, lecture, notebooks and resources for prompt engineering

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llmsherpa

Developer APIs to Accelerate LLM Projects

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langchain

πŸ¦œπŸ”— Build context-aware reasoning applications

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llama_index

LlamaIndex is a data framework for your LLM applications

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research_paper_digesting_with_dual_chatbot

Using role-playing dual-chatbot system to digest scientifc research papers

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azurechatgpt

πŸ€– Azure ChatGPT: Private & secure ChatGPT for internal enterprise use πŸ’Ό

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mem0

The memory layer for Personalized AI

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pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

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chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

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chatgpt-api-whisper-api-voice-assistant

chatgpt api and whisper api tutorial - voice conversation with therapist

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openai-cookbook

Examples and guides for using the OpenAI API

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COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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handy_data_viz_functions

Jupyter notebook of (python/Pandas) code snippets for handy matplotlib and Seaborn plotting functions to speed up EDA

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open_projects

This repository contains ROC and precision-recall curve animations

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visual-vocabulary-vega

Visual Vocabulary with Vega

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Stock-Market-Analysis

Stock Market Analysis with RNN and Time Series

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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

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handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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stat479-machine-learning-fs18

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

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a-2017

Public Repository for cs109a, 2017 edition

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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