notani / python-gladLinks
A Python Implementation of GLAD
☆24Updated 5 years ago
Alternatives and similar repositories for python-glad
Users that are interested in python-glad are comparing it to the libraries listed below
Sorting:
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆177Updated 2 years ago
- A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk)…☆69Updated 4 years ago
- Python codes for weakly-supervised learning☆125Updated 5 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆155Updated 3 years ago
- ☆30Updated 7 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆247Updated last year
- Library of transfer learners and domain-adaptive classifiers.☆93Updated 7 years ago
- Ordinal regression models in PyTorch☆149Updated 3 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆55Updated 6 years ago
- An implementation of MixMatch with PyTorch☆36Updated 5 years ago
- ☆15Updated 4 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆75Updated 6 years ago
- Another Domain Adaptation library, aimed at researchers.☆105Updated 10 months ago
- PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.☆73Updated 2 years ago
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆107Updated last year
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Updated 6 years ago
- Loss function which directly targets ROC-AUC☆251Updated 3 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆148Updated 7 years ago
- How to calibrate your neural network classifier: Getting accurate probabilities from a classification model☆54Updated 5 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆77Updated 8 years ago
- A deep learning framework for building multimodal multi-task learning systems.☆113Updated 2 years ago
- Distance Metric Learning Algorithms for Python☆175Updated 4 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88Updated 3 years ago
- Deep Neural Decision Trees☆165Updated 3 years ago
- Reusable BatchBALD implementation☆78Updated last year
- ☆33Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆300Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆153Updated 3 years ago
- ☆32Updated 4 years ago