Alternatives and similar repositories for bulldog

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

• mpearmain / scikit-wrapRs
  ☆13Updated 8 years ago
• allenai / aiconf-allennlp-tutorial
  allennlp tutorial for O'Reilly AI Conference, September 2019
  ☆22Updated 5 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 5 years ago
• sosuneko / Nuance
  Visualization ideas for data science
  ☆20Updated 7 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆102Updated 3 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• tchambon / LabelMyTextWidget
  Jupyter notebook widget to quickly label text data
  ☆47Updated 6 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• RaRe-Technologies / talks
  Presentations & notebooks from our talks /workshops/meetups/etc
  ☆24Updated 7 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• gurvindersingh / mlapp
  ML model serving app based on APIs
  ☆72Updated 3 years ago
• 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
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• jfpuget / metrics
  Python implementation of machine learning metrics
  ☆14Updated 7 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• szilard / awesome-GBMs
  A curated list of gradient boosting machines (GBM) resources
  ☆10Updated 6 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 8 years ago
• Wrosinski / keraspipelines
  Pipelines for Keras Deep Learning Library
  ☆17Updated 7 years ago
• mattilyra / pydatanyc_2019
  Materials for the Neural Network tutorial at PyData NYC 2019
  ☆15Updated 2 years ago
• jphall663 / GWU_rml
  ☆37Updated 3 months ago
• lopusz / pydata-berlin-2018
  ☆15Updated 7 years ago
• joelgrus / streamlit-allennlp
  allennlp + streamlit demo
  ☆22Updated 5 years ago
• HazyResearch / reef
  Automatically labeling training data
  ☆107Updated 6 years ago
• morganmcg1 / ntentional
  The ntentional blog - a machine learning journey
  ☆23Updated 2 years ago
• dperezrada / keywords2vec
  ☆123Updated 2 years ago