ngoix / OCRFLinks
☆18Updated 8 years ago
Alternatives and similar repositories for OCRF
Users that are interested in OCRF are comparing it to the libraries listed below
Sorting:
- ☆14Updated 9 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- Autoencoder network for imputing missing values☆27Updated 6 years ago
- ☆15Updated 7 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 10 years ago
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- Random Forest model using Hellinger Distance as split criterion☆33Updated 2 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated 2 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆13Updated 8 years ago
- A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap☆29Updated 3 years ago
- Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015☆16Updated 9 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 6 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- Compute set of important operations for HCTSA code☆27Updated 5 years ago
- Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)☆70Updated 3 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated 2 months ago
- Vectorizers for a range of different data types☆103Updated 4 months ago
- Explaining dimensionality results using SHAP values☆55Updated last month
- Reading history for Fair ML Reading Group in Melbourne☆36Updated 4 years ago
- A python package that aims to make LDA topic modelling even easier for you!☆10Updated 5 years ago
- Stats 479 Project☆22Updated 6 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations☆35Updated 2 weeks ago
- Missing Data Imputation Python Library☆35Updated 6 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆28Updated 4 years ago
- A PyPI package for easy text annotation in a Jupyter Notebook.☆29Updated 4 years ago
- Adversarial Generation of Extreme Samples☆79Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 5 years ago