sepandhaghighi / pycm
Multi-class confusion matrix library in Python
☆1,454Updated last week
Related projects ⓘ
Alternatives and complementary repositories for pycm
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆706Updated 3 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,758Updated 2 years ago
- Data Analysis Baseline Library☆724Updated 3 months ago
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆608Updated last year
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,018Updated 5 months ago
- A Python toolbox for gaining geometric insights into high-dimensional data☆1,828Updated 8 months ago
- Hyper-parameter optimization for sklearn☆1,589Updated 5 months ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,427Updated 3 months ago
- ML-Ensemble – high performance ensemble learning☆848Updated last year
- DeltaPy - Tabular Data Augmentation (by @firmai)☆537Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,743Updated 9 months ago
- python partial dependence plot toolbox☆845Updated 2 months ago
- A scikit-learn based module for multi-label et. al. classification☆921Updated 9 months ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆499Updated 3 months ago
- HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!☆713Updated 4 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- ☆745Updated last year
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆530Updated 3 months ago
- Live training loss plot in Jupyter Notebook for Keras, PyTorch and others☆1,293Updated 2 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- Metric learning algorithms in Python☆1,399Updated 3 months ago
- A simplified framework and utilities for PyTorch☆569Updated 4 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,295Updated last month
- Tuning hyperparams fast with Hyperband☆595Updated 6 years ago
- Hyperparameter Experiments with TensorFlow and Keras☆1,626Updated 7 months ago
- A graph-based functional API for building complex scikit-learn pipelines.☆592Updated last year
- Python library for building highly effective data science workflows☆952Updated last year
- Matplotlib animations made easy☆1,126Updated 9 months ago
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆199Updated 2 years ago