Alternatives and similar repositories for UnderstandingGCNs

Users that are interested in UnderstandingGCNs are comparing it to the libraries listed below

• IBM / depiction
  interpret deep learning models in a framework-independent fashion
  ☆41Updated last month
• Avsecz / kopt
  Hyper-parameter optimization for Keras
  ☆46Updated 4 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 6 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆109Updated 4 years ago
• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆171Updated 2 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 8 months ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆132Updated 7 months ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• rafiqhasan / auto-tensorflow
  Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…
  ☆181Updated 2 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆135Updated last year
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• abhishekkrthakur / mlframework
  ☆203Updated 11 months ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 6 years ago
• esentri / datascience_blog_resources
  This repository contains additional resources complementing some data science blog posts on the esentri blog
  ☆14Updated 6 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• leongn / model_to_api
  Deploy your ML model as an API on AWS
  ☆41Updated 4 years ago
• dexplo / jupyter_to_medium
  Python package for publishing Jupyter Notebooks as Medium blogposts
  ☆147Updated last year
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 10 months ago
• Samreay / DSGoPipeline
  A short workshop on datascience pipelines using mlflow and airflow
  ☆53Updated 2 years ago
• casper-hansen / Nested-Cross-Validation
  Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…
  ☆64Updated 5 years ago
• AMDonati / ODSC2019-DL-models-NLP
  materials for my workshop "Latest Deep Learning Models for NLP" @ the European Open Data Science Conference 2019
  ☆10Updated 5 years ago
• ersaurabhverma / autoplotter
  ☆153Updated 4 years ago
• dvgodoy / ML_Fundamentals
  Fundamentals of Machine Learning Course at DSR
  ☆26Updated 5 years ago
• cmawer / reproducible-model
  ☆86Updated 6 years ago
• thomasjpfan / data-umbrella-2020-streamlit-ml
  ☆13Updated 3 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 5 years ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆141Updated 7 months ago
• koaning / doubtlab
  Doubt your data, find bad labels.
  ☆513Updated 10 months ago
• muellerzr / fastinference
  A collection of inference modules for fastai2
  ☆90Updated 2 years ago