Alternatives and similar repositories for ml_board:

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

• EFavDB / linselect
  ☆89Updated 6 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• 0011001011 / vizuka
  Explore high-dimensional datasets and how your algo handles specific regions.
  ☆108Updated 6 years ago
• mitdbg / fastdeepnets
  ☆112Updated last year
• ModelChimp / modelchimp
  Experiment tracking for machine and deep learning projects
  ☆127Updated last year
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 4 years ago
• RJT1990 / mantra
  A high-level, rapid development framework for machine learning projects
  ☆345Updated last year
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆136Updated 6 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 7 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆134Updated 6 years ago
• brannondorsey / keras_weight_animator
  Save keras weight matrices as short animated videos during training
  ☆105Updated 7 years ago
• ContextLab / hypertools-paper-notebooks
  Supporting notebooks and data from hypertools paper
  ☆147Updated 6 years ago
• kootenpv / reddit_ml_challenge
  Reddit Machine Learning: Tagging Challenge
  ☆19Updated 6 years ago
• Kaixhin / FGLab
  Future Gadget Laboratory
  ☆223Updated 6 years ago
• tesserai / tfi
  Use any TensorFlow model in a single line of code
  ☆152Updated 6 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• zurutech / ashpy
  TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
  ☆82Updated 2 years ago
• vlad17 / np-learn
  Jupyter notebook-post of advanced numpy techniques
  ☆58Updated 6 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated last year
• kzuiderveld / deeplearning1
  Experiments for Jeremy Howard's deep learning courses
  ☆39Updated 7 years ago
• jgreenemi / Parris
  Parris, the automated infrastructure setup tool for machine learning algorithms.
  ☆315Updated 7 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• Refefer / Dampr
  Python Data Processing library
  ☆102Updated last year
• studioml / studio
  Studio: Simplify and expedite model building process
  ☆381Updated 7 months ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 years ago
• Zahlii / colab-tf-utils
  Automatically backup keras/tensorflow models from Google's Colab service to your GoogleDrive based on a keras callback!
  ☆82Updated 6 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆333Updated 3 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 7 years ago