dalpozz

dalpozz's Stars

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.4k1.8k19418k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.4k949243.7k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.1k2452.6k3.3k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.7k407782.3k

• Yorko/mlcourse.ai

  Open Machine Learning Course

  Language:Python9.8k5771325.7k

• drivendataorg/cookiecutter-data-science

  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

  Language:Python8.4k1231752.5k

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python8.2k611.6k892

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k134892.2k

• microsoft/SynapseML

  Simple and Distributed Machine Learning

  Language:Scala5.1k146732833

• kojino/120-Data-Science-Interview-Questions

  Answers to 120 commonly asked data science interview questions.

  3.7k12841.3k

• parrt/dtreeviz

  A python library for decision tree visualization and model interpretation.

  Language:Jupyter Notebook3k46208337

• rob-med/awesome-TS-anomaly-detection

  List of tools & datasets for anomaly detection on time-series data.

  3k10812454

• microsoft/AutonomousDrivingCookbook

  Scenarios, tutorials and demos for Autonomous Driving

  Language:Jupyter Notebook2.3k135124569

• h2oai/datatable

  A Python package for manipulating 2-dimensional tabular data structures

  Language:C++1.8k1081.5k158

• jakevdp/sklearn_tutorial

  Materials for my scikit-learn tutorial

  Language:Jupyter Notebook1.8k1032954

• epfml/ML_course

  EPFL Machine Learning Course, Fall 2024

  Language:Jupyter Notebook1.3k9321912

• Developer-Y/technical-interviews

  1.1k621304

• amanjeetsahu/Natural-Language-Processing-Specialization

  This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

  Language:Jupyter Notebook795166674

• laiguokun/LSTNet

  Language:Python6672522169

• parrt/random-forest-importances

  Code to compute permutation and drop-column importances in Python scikit-learn models

  Language:Jupyter Notebook6032239131

• pylablanche/gcForest

  Python implementation of deep forest method : gcForest

  Language:Python4203726194

• ModelOriented/randomForestExplainer

  A set of tools to understand what is happening inside a Random Forest

  Language:R230132137

• negrinho/deep_architect_legacy

  DeepArchitect: Automatically Designing and Training Deep Architectures

  Language:Python14411120

• jakevdp/JupyterWorkflow

  Reproducible Data Analysis Workflow in Jupyter

  Language:Jupyter Notebook1174442

• lopusz/pydata-berlin-2018

  15403

• ITTV-tools/homeassistant-kostalplenticore

  Home Assistant Component for Kostal Plenticore

  Language:Python146176

• gbonte/gbcode

  Language:HTML112011

• federicogarzarelli/portfolio-allocation

  Backtest portfolio allocation strategies.

  Language:Jupyter Notebook9444

• yifeihuang/pandas_exploration_util

  Point and click data exploration

  Language:Python5232

• yifeihuang/entity_resolution

  Example entity resolution workflow using PySpark

  Language:Python4102