davefernig / alpLinks
active learning in python
☆35Updated 8 years ago
Alternatives and similar repositories for alp
Users that are interested in alp are comparing it to the libraries listed below
Sorting:
- Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 11 years ago
- Deep Embedding Clustering in Keras☆132Updated 8 years ago
- Active Learning☆56Updated 10 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Jupyter Notebook presentation for class imbalance in binary classification☆48Updated 7 years ago
- Active Learning Workshop Materials☆121Updated 6 years ago
- Code for Learning to select data for transfer learning with Bayesian Optimization☆171Updated 7 years ago
- 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
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆118Updated 4 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
- Creating a better validation set when test examples differ from training examples☆101Updated 9 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆76Updated 4 years ago
- Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.☆35Updated 9 years ago
- Automatically labeling training data☆107Updated 6 years ago
- CostSensitiveClassification Library in Python☆206Updated 5 years ago
- Code needed to reproduce "Modeling documents with Generative Adversarial Networks"☆37Updated 8 years ago
- Deep Neural Network Ensembles for Extreme Classification☆41Updated 6 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 3 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 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
- Benchmarking text classification algorithms☆65Updated 7 years ago
- Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015☆16Updated 8 years ago
- Using keras to implement VDCNN model☆22Updated 8 years ago
- ☆46Updated 2 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆90Updated 2 years ago
- Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"☆145Updated 2 years ago
- Adaptive Synthetic Sampling Approach for Imbalanced Learning☆132Updated 2 years ago
- ☆13Updated 9 years ago