du-phan

du-phan's Stars

• Giskard-AI/awesome-ai-safety

  📚 A curated list of papers & technical articles on AI Quality & Safety

  15913

• sentinel-hub/eo-learn

  Earth observation processing framework for machine learning in Python

  Language:Python1.1k300

• carbonplan/cmip6-downscaling

  Climate downscaling using CMIP6 data

  Language:Jupyter Notebook16924

• protontypes/open-sustainable-technology

  A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech

  2k240

• electricitymaps/electricitymaps-contrib

  A real-time visualisation of the CO2 emissions of electricity consumption

  Language:Python3.5k932

• csinva/imodels

  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

  Language:Jupyter Notebook1.4k122

• azavea/raster-vision

  An open source library and framework for deep learning on satellite and aerial imagery.

  Language:Python2.1k386

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.5k1.5k

• Giskard-AI/giskard

  🐢 Open-Source Evaluation & Testing for ML models & LLMs

  Language:Python4k254

• kansoapp/carbonfact-models

  The carbon footprint models used by carbonfact.co

  Language:TypeScript332

• dataiku-research/cardinal

  A practical Active Learning python package with a strong focus on experiments.

  Language:Python516

• datamllab/awesome-fairness-in-ai

  A curated list of awesome Fairness in AI resources

  31163

• jphall663/interpretable_machine_learning_with_python

  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

  Language:Jupyter Notebook674207

• cool-RR/PySnooper

  Never use print for debugging again

  Language:Python16.4k951

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.9k3.1k

• uber-archive/sql-differential-privacy

  Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.

  Language:Scala39372

• JerryLead/MyNotes

  Self-written notes that may be useful

  Language:Python10743

• datitran/emr-bootstrap-pyspark

  Quickstart PySpark with Anaconda on AWS/EMR

  Language:Python5319

• autorope/donkeycar

  Open source hardware and software platform to build a small scale self driving car.

  Language:Python3.1k1.3k

• mdeff/ntds_2017

  Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

  Language:Jupyter Notebook6631

• allanzelener/YAD2K

  YAD2K: Yet Another Darknet 2 Keras

  Language:Python2.7k878

• Spandan-Madan/DeepLearningProject

  An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

  Language:HTML4.8k637

• ethen8181/machine-learning

  :earth_americas: machine learning tutorials (mainly in Python3)

  Language:HTML3.2k649

• braydie/HowToBeAProgrammer

  A guide on how to be a Programmer - originally published by Robert L Read

  15.9k1.3k

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python3.9k518

• gboeing/osmnx

  OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

  Language:Python4.8k823

• DataTau/datascience-anthology-pydata

  PyData, The Complete Works of

  29882

• uwdata/bayesian-surprise

  Bayesian Weighting for De-Biasing Thematic Maps

  Language:TeX5416

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.5k6k

• bayesimpact/bob-emploi

  An application that provides personalized career and job search advice to jobseekers.

  Language:Jupyter Notebook14115