lealdino
Data Scientist at Nubank | Ph.D. in Mathematics Education | Content Creator - @numerofobia
NubankSão Paulo
lealdino's Stars
opencv/opencv
Open Source Computer Vision Library
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
minio/minio
MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
TA-Lib/ta-lib-python
Python wrapper for TA-Lib (http://ta-lib.org/).
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
py-why/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.
alvarobartt/investpy
Financial Data Extraction from Investing.com with Python
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
GeostatsGuy/DataScienceInteractivePython
Python interactive dashboards for learning data science
daveebbelaar/python-whatsapp-bot
Build AI WhatsApp Bots with Pure Python
PacktPublishing/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
guillermo-navas-palencia/optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
donlnz/nonconformist
Python implementation of the conformal prediction framework.
scunning1975/mixtape
Data and Program files for Causal Inference: The Mixtape
alvarobartt/investiny
🤏🏻 `investpy` but made tiny
Mixtape-Sessions/Causal-Inference-1
Causal Inference 1 Mixtape Session taught by Scott Cunningham
jxzly/Kaggle-American-Express-Default-Prediction-1st-solution
Mixtape-Sessions/Causal-Inference-2
Causal Inference II Mixtape Session taught by Scott Cunningham
tylerjrichards/Getting-Started-with-Streamlit-for-Data-Science
matheusfacure/exploratory-notebooks
Unstructured Code with interesting analysis
a-data-odyssey/XAI-tutorial
A course on explainable AI with Python
ubcecon/ECON526
Course materials for ECON526 MA Quantitative Economics; computational econ and data science with a focus on causal inference
pome223/ModalMixLab
oplab-team/oplab-client-python
Python client for the API
marcellinus-witarsah/credit-score-modelling-with-optbinning
Credit Score Modelling: Perform a Weight of Evidence Logistic Regression Modelling (WoELR) to generate credit scorecard for loan approval with the help of optbinning library.