zygmuntz / classifier-calibration
Reliability diagrams, Platt's scaling, isotonic regression
☆76Updated 10 years ago
Alternatives and similar repositories for classifier-calibration:
Users that are interested in classifier-calibration are comparing it to the libraries listed below
- Python codes for weakly-supervised learning☆123Updated 4 years ago
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…☆27Updated 4 years ago
- An example of using a discriminator to correct for a difference in the distributions between the training and test data.☆67Updated 8 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆71Updated 6 years ago
- The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017☆27Updated 7 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 8 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆151Updated 4 years ago
- An implementation of MixMatch with PyTorch☆36Updated 4 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 2 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated 9 months ago
- Python implementation of stacked generalization classifier. Plays nice with sklearn.☆71Updated 8 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- Active Learning☆56Updated 9 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆87Updated 2 years ago
- Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"☆42Updated 7 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- ☆12Updated 6 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Updated 7 years ago
- Factorization Machine for regression and classification☆98Updated 7 years ago
- Modified Logisic Regression for the Positive and Unlabeled Learning Problem☆12Updated 11 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 7 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- Density Order Embeddings☆33Updated 5 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Code to accompany "A Neural Framework for Generalized Topic Models"☆67Updated 6 years ago
- ☆74Updated 6 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
- Code for Learning to select data for transfer learning with Bayesian Optimization☆169Updated 7 years ago