Sassa's starred repositories
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
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.
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.
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
Uber-DS-Challenge
Uber provided Data Science take home
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.