Alternatives and similar repositories for pycm

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

• stared / livelossplot
  Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
  ☆1,321Updated 8 months ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆727Updated last year
• sicara / tf-explain
  Interpretability Methods for tf.keras models with Tensorflow 2.x
  ☆1,036Updated last year
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,639Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• vivekratnavel / omniboard
  Web-based dashboard for Sacred
  ☆548Updated 2 years ago
• Neuraxio / Neuraxle
  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…
  ☆615Updated 7 months ago
• alegonz / baikal
  A graph-based functional API for building complex scikit-learn pipelines.
  ☆590Updated 3 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆399Updated 5 years ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆577Updated 7 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,773Updated 7 months ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆953Updated last year
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated 2 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆495Updated last year
• ypeleg / HungaBunga
  HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
  ☆712Updated 5 years ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,372Updated 2 weeks ago
• wcipriano / pretty-print-confusion-matrix
  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
  ☆540Updated 8 months ago
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,438Updated last year
• AnswerDotAI / fastprogress
  Simple and flexible progress bar for Jupyter Notebook and console
  ☆1,099Updated last year
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,648Updated 8 months ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆524Updated last month
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆420Updated 2 years ago
• d6t / d6tflow
  Python library for building highly effective data science workflows
  ☆947Updated 2 years ago
• philipperemy / keract
  Layers Outputs and Gradients in Keras. Made easy.
  ☆1,053Updated 8 months ago
• firmai / deltapy
  DeltaPy - Tabular Data Augmentation (by @firmai)
  ☆556Updated 2 years ago
• marcoancona / DeepExplain
  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…
  ☆761Updated 5 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 8 months ago
• trent-b / iterative-stratification
  scikit-learn cross validators for iterative stratification of multilabel data
  ☆882Updated last year