A curated list of my GitHub stars! Generated by starred.
- ventoy/Ventoy - A new bootable USB solution.
- faridrashidi/kaggle-solutions - 🏅 Collection of Kaggle Solutions and Ideas 🏅
- business-science/free_r_tips - Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
- business-science/presentations - A central repository of Business Science presentations
- rfordatascience/tidytuesday - Official repo for the #tidytuesday project
- rennancockles/PontoFreela - Controle de Ponto para Freelas
- damianavila/RISE - RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
- kayschulz/travel_destination_recommendation - A cold start recommender system for European travel destinations.
- DataTalksClub/mlops-zoomcamp - Free MLOps course from DataTalks.Club
- TarcisioBalbi/Exemplo_Optuna - Repositório com um exemplo prático de utilização do pacote Optuna para otimização de parâmetros de modelagem.
- logicalclocks/hopsworks-tutorials - Tutorials for the Hopsworks Platform
- svpino/ml.school - Machine Learning School
- curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain - 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 us
- Sundar0989/XuniVerse - xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
- feature-engine/feature-engine-examples -
- felipesassi/pyspark-hands-on - PySpark course.
- enzoampil/fastquant - fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
- zangell44/survival-analysis-lifeline-basics - An example showing how survival analysis can be used in a business context
- yasoob/practical-python-projects -
- joaopcnogueira/bike-sales -
- joaopcnogueira/plotnine-examples - Boilerplate Code for Make Better Pictures in Python with Plotnine
- joaopcnogueira/propensao-revenda -
- joaopcnogueira/mlops - Learning Flask and MLOps
- mwburke/population-stability-index - Python implementation of the population stability index (PSI)
- bruno-san/blocker_fraud_company - This repository contains the solution for a business case problem with respect to fraud detection.
- matheusfacure/python-causality-handbook - Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
- opertifelipe/covid19 - Covid19 app and model
- JWarmenhoven/ISLR-python - An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
- TeoCalvo/dtona -
- pycaret/pycaret - An open-source, low-code machine learning library in Python
- dipanjanS/practical-machine-learning-with-python - Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
- firmai/python-business-analytics - Python solutions to solve practical business problems.
- ajcr/100-pandas-puzzles - 100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
- chiphuyen/python-is-cool - Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
- chrisgschon/docker-for-ds - A practical introduction to Docker for data science
- firmai/business-machine-learning - A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
- ericvenarusso/Write-a-Data-Science-Blog-Post - Udacity Data Scientist Nanodegree Project
- SQLShark/MachineLearningFromModelToProduction - This repo holds all the content for the Machine Learning training day
- croach/statistics-for-hackers - A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
- jakevdp/PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
- joaopcnogueira/python-environment-setup - A minimal python environment setup for data projects
- alfredodeza/python-and-rust-tools - Introduction to Command-line tools with Python and Rust
- henriquefb/AprendaExcelUsandoExcel - Curso de Excel Grátis Usando Excel
- andkret/Cookbook - The Data Engineering Cookbook
- DaveOnData/DataAnalysisWithExcel - GitHub repo for Dave Langer's YouTube tutorials on data analysis with Excel
- TeoMeWhy/teomerefs - Guia de referências técnicas para carreira em dados
- especializati/curso-de-laravel-10 - Arquivos Curso de Laravel 10.x
- jeroennoten/Laravel-AdminLTE - Easy AdminLTE integration with Laravel
- lucascudo/laravel-pt-BR-localization - Tradução do Laravel para português brasileiro (pt-BR locale). Buy me a coffe: https://www.buymeacoffee.com/lucasrocha
- DanielHe4rt/php4noobs - Manual de uma possível certificação Zend PHP!
- interpretml/DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.
- TeoMeWhy/olist-ml-models - Projeto de Machine Learning do início ao fim no contexto de um e-commerce
- business-science/pytimetk - Time series easier, faster, more fun. Pytimetk.
- joaopcnogueira/how_fake_accounts - A Data Enginner project from How Bootcamp
- maritaca-ai/maritalk-api - Code and documentation for the MariTalk API
- jazzband/pip-tools - A set of tools to keep your pinned Python dependencies fresh.
- nbQA-dev/nbQA - Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
- dunossauro/fastapi-do-zero - Curso básico de FastAPI
- gpt-engineer-org/gpt-engineer - Specify what you want it to build, the AI asks for clarification, and then builds it.
- keredson/wordninja - Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.
- amira-khan/zipf -
- storborg/python-packaging - Tutorial on how to structure Python packages
- lm-sys/FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
- iusztinpaul/energy-forecasting - 🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
- straussmaximilian/pandas-ai-streamlit - A streamlit interface for pandas-ai
- Sinaptik-AI/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.
- camel-ai/camel - 🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org
- richardyc/Chrome-GPT - An AutoGPT agent that controls Chrome on your desktop
- Significant-Gravitas/AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
- yvann-ba/Robby-chatbot - AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡
- mkhorasani/Streamlit-Authenticator - A secure authentication module to validate user credentials in a Streamlit application.
- tharlesamaro/fastapi-doc-http-response - A Python package to facilitate the definition of default HTTP responses for FastAPI APIs. With this package, it is possible to easily create default responses for the most common HTTP status codes.
- openai/whisper - Robust Speech Recognition via Large-Scale Weak Supervision
- derar-alhussein/Databricks-Certified-Data-Engineer-Associate - The resources of the preparation course for Databricks Data Engineer Associate certification exam
- rochacbruno/fastapi-workshop - Material do workshop - Criando API com FastAPI da LINUXtips
- rochacbruno/fastapi-project-template - DO NOT FORK, CLICK "Use this template" - The base to start an openapi project featuring: SQLModel, Typer, FastAPI, JWT Token Auth, Interactive Shell, Management Commands.
- rochacbruno/python-base - https://www.linuxtips.io/products/python-base
- rochacbruno/python-week-2022 - Template Para a Python Week 2002 - 25 a 29 de Abril na LINUXTips
- alexandrecardososantos/webscraping_books_case - The goal is to web scrap a website and load the data in to a SQL server where users can access.
- argilla-io/argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
- cjhutto/vaderSentiment - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social med
- joaopcnogueira/fastapi-crud-alembic-mysql -
- NicolasHug/Surprise - A Python scikit for building and analyzing recommender systems
- has2k1/plotnine - A Grammar of Graphics for Python
- gradio-app/gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
- jmcarpenter2/swifter - A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
- nalepae/pandarallel - A simple and efficient tool to parallelize Pandas operations on all available CPUs
- rafjaa/LeIA - LeIA (Léxico para Inferência Adaptada) é um fork do léxico e ferramenta para análise de sentimentos VADER (Valence Aware Dictionary and sEntiment Reasoner) adaptado para textos em português.
- firmai/atspy - AtsPy: Automated Time Series Models in Python (by @firmai)
- online-ml/river - 🌊 Online machine learning in Python
- databricks/koalas - Koalas: pandas API on Apache Spark
- feature-engine/feature_engine - Feature engineering package with sklearn like functionality
- holoviz/hvplot - A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
- tdpetrou/pandas_cub - Learn how to build a data analysis library from scratch
- kieferk/dfply - dplyr-style piping operations for pandas dataframes
- Yorko/mlcourse.ai - Open Machine Learning Course
- ericvenarusso/ml_to_production -
- scikit-learn-contrib/category_encoders - A library of sklearn compatible categorical variable encoders
- tidymodels/workflows - Modeling Workflows
- tmobile/r-tensorflow-api - A small Docker container for using R and TensorFlow as an enterprise API
- jnolis/pet-names - Generating pet names - creating an R Keras model and deploying it in a Docker container
- business-science/tidyquant - Bringing financial analysis to the tidyverse
- denisevitoriano/coronavirus - Análises dos dados do coronavírus feitas com o pacote nCov2019
- magicmonty/bash-git-prompt - An informative and fancy bash prompt for Git users
To the extent possible under law, joaopcnogueira has waived all copyright and related or neighboring rights to this work.