MartinThoma / edapy

Related projects ⓘ

Alternatives and complementary repositories for edapy

• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆18Updated 5 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• meffmadd / pandas-visual-analysis
  A package for interactive visual analysis in jupyter notebooks
  ☆22Updated last year
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• Didayolo / autopandas
  Process, visualize and use data easily.
  ☆20Updated last year
• RobMulla / kaggle-ieee-fraud-detection
  IEEE-CIS Fraud Detection Kaggle Competition Code
  ☆9Updated 5 years ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 2 years ago
• mljar / automl_comparison
  Comparison of automatic machine learning libraries
  ☆26Updated 6 years ago
• paperd / tensorflow
  TensorFlow materials
  ☆13Updated 3 years ago
• ericmjl / minimal-panel-app
  A pedagogical implementation of panel apps served up on a remote machine.
  ☆14Updated 3 years ago
• nickc1 / sklearn_fastapi
  Building an API with the FastAPI framework to serve a scikit-learn model.
  ☆18Updated 5 years ago
• ashishpatel26 / datascienv
  datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…
  ☆58Updated 3 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆43Updated 3 years ago
• ml-tooling / lazycluster
  🎛 Distributed machine learning made simple.
  ☆49Updated last year
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆64Updated 8 months ago
• mdh266 / AirflowETL
  Blog post on ETL pipelines with Airflow
  ☆23Updated 4 years ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆24Updated last year
• coiled / talkpython-getting-started-with-dask
  Material for Talk Python Training course on Getting Started with Dask.
  ☆28Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• opeyemibami / TDD-in-MLOps
  This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…
  ☆14Updated 3 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• MuttData / muttlib
  ☆29Updated 10 months ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated last year
• Brett777 / Predict-Churn
  ☆11Updated 6 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆68Updated 5 years ago
• cedrickchee / pytorch-serving
  [UNMAINTAINED] A starter pack for creating a lightweight responsive web app for Fast.AI PyTorch models.
  ☆17Updated 5 years ago
• pbugnion / jupyter-widgets-for-data-science-guis
  Creating user interfaces for data science with Jupyter widgets
  ☆11Updated 7 years ago
• WillKoehrsen / airbus
  Work related to the Airbus Ship Detection Challenge https://www.kaggle.com/c/airbus-ship-detection
  ☆12Updated 6 years ago