lealdino

lealdino's Stars

• guillermo-navas-palencia/optbinning

  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

  Language:Python44999

• 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.

  Language:Jupyter Notebook1

• daveebbelaar/python-whatsapp-bot

  Build AI WhatsApp Bots with Pure Python

  Language:Python664402

• Kulbear/deep-learning-coursera

  Deep Learning Specialization by Andrew Ng on Coursera.

  Language:Jupyter Notebook7.5k5.5k

• matheusfacure/exploratory-notebooks

  Unstructured Code with interesting analysis

  Language:Jupyter Notebook336

• Avaiga/taipy

  Turns Data and AI algorithms into production-ready web applications in no time.

  Language:Python11.5k805

• opencv/opencv

  Open Source Computer Vision Library

  Language:C++78k55.7k

• 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.

  Language:Python23.2k4.3k

• donlnz/nonconformist

  Python implementation of the conformal prediction framework.

  Language:Python42594

• jxzly/Kaggle-American-Express-Default-Prediction-1st-solution

  Language:Python21970

• TA-Lib/ta-lib-python

  Python wrapper for TA-Lib (http://ta-lib.org/).

  Language:Cython9.5k1.7k

• oplab-team/oplab-client-python

  Python client for the API

  Language:Python112

• minio/minio

  MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.

  Language:Go46.7k5.4k

• alvarobartt/investiny

  🤏🏻 `investpy` but made tiny

  Language:Python29735

• alvarobartt/investpy

  Financial Data Extraction from Investing.com with Python

  Language:Python1.6k376

• interpretml/DiCE

  Generate Diverse Counterfactual Explanations for any machine learning model.

  Language:Python1.3k185

• microsoft/generative-ai-for-beginners

  18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook61.8k31.5k

• GeostatsGuy/DataScienceInteractivePython

  Python interactive dashboards for learning data science

  Language:Jupyter Notebook649120

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python67.5k8k

• scunning1975/mixtape

  Data and Program files for Causal Inference: The Mixtape

  Language:TeX383216

• Mixtape-Sessions/Causal-Inference-1

  Causal Inference 1 Mixtape Session taught by Scott Cunningham

  Language:TeX229153

• Mixtape-Sessions/Causal-Inference-2

  Causal Inference II Mixtape Session taught by Scott Cunningham

  Language:HTML158125

• pome223/ModalMixLab

  Language:Python113

• ubcecon/ECON526

  Course materials for ECON526 MA Quantitative Economics; computational econ and data science with a focus on causal inference

  Language:Jupyter Notebook1732

• 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.

  Language:Jupyter Notebook3.7k710

• PacktPublishing/Causal-Inference-and-Discovery-in-Python

  Causal Inference and Discovery in Python by Packt Publishing

  Language:Jupyter Notebook743248

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++30.5k3.6k

• a-data-odyssey/XAI-tutorial

  A course on explainable AI with Python

  Language:Jupyter Notebook216

• tylerjrichards/Getting-Started-with-Streamlit-for-Data-Science

  Language:Python4619

• GeostatsGuy/PythonNumericalDemos

  Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

  Language:Jupyter Notebook1.4k491