LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…

A LangChain Tutorial

Reference implementations of several LangChain agents as Streamlit apps

Build Conversational AI in minutes ⚡️

A collection of apps powered by the LangChain LLM framework.

Building Apps with LLMs

Generate ChatGPT function call schemas based on function docstrings.

Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...

10 Weeks, 20 Lessons, Data Science for All!

The fastai book, published as Jupyter Notebooks

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

An opinionated list of awesome Python frameworks, libraries, software and resources.

An open source python library for automated feature engineering

Feature engineering package with sklearn like functionality

Feature exploration for supervised learning

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Overview and tutorial of the LangChain Library