Alternatives and similar repositories for d6tflow-template

Users that are interested in d6tflow-template are comparing it to the libraries listed below

• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 8 months ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆81Updated 5 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 8 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 3 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆37Updated 6 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 3 years ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• talfco / clb-sentiment
  Start your journey into social media analysis of politicans by using Python (Tutorial)
  ☆21Updated 6 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆61Updated 2 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 5 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• ottogroup / dstoolbox
  Tools that make working with scikit-learn and pandas easier.
  ☆44Updated last year
• amueller / ml-workshop-short
  Two hour interactive machine learning workshop
  ☆22Updated 5 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 4 years ago
• radekosmulski / fastai-rails
  ☆25Updated 2 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago