victorsanunes

ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

sql_chatbot

Simple SQL chatbot which allows to explore and manipulate a MySQL database using normal sentences written in English

streamlit-agent

Reference implementations of several LangChain agents as Streamlit apps

yabai

A tiling window manager for macOS based on binary space partitioning

LLM-NLP-Projects

Projetos pessoais com Large Language Models, alguma coisa de NLP "clássico", nível intermediário-avançado.

amazon-bedrock-audio-summarizer

An automated way to transcribe and summarize media files using Amazon S3, AWS Lambda, Amazon Transcribe, and Amazon Bedrock.

ml-mgie

AppFlowy

Bring projects, wikis, and teams together with AI. AppFlowy is an AI collaborative workspace where you achieve more without losing control of your data. The best open source alternative to Notion.

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.

Python

All Algorithms implemented in Python

redium

Chrome extension for automatically unblocking member-only Medium articles through free proxies

sample_nb_code_project

An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them

webscraper.classifier

Desenvolvimento de um Scraper para obtenção de vagas.

awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

vscode-python

A Tutorial for Setting Python Development Environment with VScode and Docker

openai-cookbook

Examples and guides for using the OpenAI API

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

causallib

A Python package for modular causal inference analysis and model evaluations

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

growthbook

Open Source Feature Flagging and A/B Testing Platform

music_source_separation

Uber-DS-Challenge

Uber provided Data Science take home

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

noronha

DataOps framework for Machine Learning projects.

tfcausalimpact

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

everything

An index of all our open-source data, analysis, libraries, tools, and guides.